{"schema_version":"2026-06-16","title":"QVeris Agent Skill Catalog","description":"Agent-readable registry for QVeris skills. Agents can read this catalog, select a skill, and install or run it after user approval.","generated_at":"2026-06-29T21:26:29.037Z","urls":{"catalog":"https://qveris.ai/skills/catalog.json","human_page":"https://qveris.ai/skills"},"agent_usage":{"purpose":"Help agents discover installable skills by task and understand install commands, prompts, cases, and QVeris API usage.","install_policy":"Require explicit user confirmation before installation, configuration writes, or local environment changes.","recommended_flow":["Read catalog","Select a skill by task","Read manifest or agent.md","Ask the user to confirm installation","Install and run a starter prompt"]},"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."},{"id":"travel","label":"Travel and places","description":"Real place data, reviews, ratings, and recommendation workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."},{"id":"agent-foundation","label":"Agent foundation","description":"Core QVeris access for OpenClaw, Cursor, Claude Code, CLI, and MCP users."}],"skills":[{"schema_version":"2026-06-16","id":"qveris-official","name":"qveris-official","title":"QVeris official","description":"The core skill that lets any supported agent discover, inspect, and call real-world capabilities.","overview":"Use this when the user wants a general QVeris connector for OpenClaw, Cursor, Claude Code, CLI, or MCP. It is the best starting point before installing narrower domain workflows.","official":true,"tags":["Core","Discover","Inspect","Call"],"scenarios":[{"id":"agent-foundation","label":"Agent foundation","description":"Core QVeris access for OpenClaw, Cursor, Claude Code, CLI, and MCP users."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"},{"id":"mcp","label":"MCP"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-official","manifest":"https://qveris.ai/skills/qveris-official/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-official/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-official","clawhub":"https://clawhub.ai/linfangw/qveris-official"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-official","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-official","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-official"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install in OpenClaw","command":"openclaw skills install qveris-official"},{"platform":"cli","platform_label":"CLI","label":"Install QVeris CLI","command":"npm install -g @qverisai/cli"}]},"prompts":[{"id":"weather-demo","title":"First capability call","description":"A small end-to-end request that proves discover, inspect, and call work.","prompt":"Discover weather capabilities, inspect the best candidate, and get the current weather in Tokyo. Explain which capability you used and why."},{"id":"agent-routing","title":"Capability routing test","description":"Ask the agent to find the right provider instead of naming an API manually.","prompt":"Find a reliable capability for real-time stock quotes, inspect the top options, then call one for AAPL. Include success rate, latency, and estimated cost if available."}],"cases":[{"slug":"qveris-skill-for-openclaw","title":"QVeris skill for OpenClaw","description":"How to add QVeris as a reusable capability layer inside OpenClaw.","source_label":"Setup article","url":"https://qveris.ai/blog/qveris-skill-for-openclaw"},{"slug":"qveris-in-cursor","title":"Use QVeris in Cursor","description":"A step-by-step path for coding agents that need live tools and data.","source_label":"Cursor guide","url":"https://qveris.ai/blog/qveris-in-cursor"},{"slug":"qveris-cli","title":"QVeris CLI workflow","description":"Use QVeris as a subprocess-friendly capability interface.","source_label":"CLI guide","url":"https://qveris.ai/blog/qveris-cli"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Natural-language discovery","purpose":"Find the right real-world capability without manually choosing an API vendor.","sources":["QVeris capability index"],"sample_query":"real-time weather API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Capability inspection","purpose":"Read parameters, examples, quality signals, latency, and billing rules before execution.","sources":["Capability metadata","Provider quality signals"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Unified execution","purpose":"Execute the chosen capability and return structured results with auditable usage.","sources":["QVeris execution runtime"]}],"usage_estimate":{"title":"Core capability routing","summary":"Installation and catalog discovery are free. Discover and Inspect do not consume credits; only successful Call execution follows the selected provider billing rule.","typical_calls":"1-3","estimated_credits":"1-20 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Use Inspect to view the exact billing_rule before calling. Call responses include pre-settlement billing when available, and final charges are auditable in usage_history and credits_ledger."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"stock-copilot-pro","name":"stock-copilot-pro","title":"Stock copilot pro","description":"A finance workflow for quotes, fundamentals, filings, earnings context, and analyst-style summaries.","overview":"Use this skill when the user wants an agent that can research listed companies with live market data and source-backed context instead of relying on static model memory.","official":true,"tags":["Finance","Stocks","Filings","Research"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/stock-copilot-pro","manifest":"https://qveris.ai/skills/stock-copilot-pro/manifest.json","agentGuide":"https://qveris.ai/skills/stock-copilot-pro/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/stock-copilot-pro"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"stock-copilot-pro","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/stock-copilot-pro","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/stock-copilot-pro"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install stock-copilot-pro"}]},"prompts":[{"id":"single-stock","title":"Single stock memo","description":"Generate a source-backed research snapshot for one ticker.","prompt":"Analyze AAPL using live market data, recent fundamentals, valuation context, and the latest relevant filings or news. Separate facts from interpretation and cite which QVeris capabilities were called."},{"id":"compare-stocks","title":"Compare two tickers","description":"Compare market data and company fundamentals in one agent workflow.","prompt":"Compare NVDA and AMD across price action, revenue growth, margins, valuation, recent news, and key risks. Use QVeris to discover and call the required finance capabilities."},{"id":"daily-watchlist","title":"Daily watchlist brief","description":"Turn a watchlist into a repeatable daily report.","prompt":"Create a daily watchlist brief for AAPL, NVDA, MSFT, and TSLA. For each ticker, identify what changed, the strongest data point, and what to watch next."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for always-on market monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for agent research tasks.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find finance data capabilities","purpose":"Search for quote, filings, financial statement, market data, or analyst data capabilities.","sources":["FMP","Twelve Data","financial data providers"],"sample_query":"real-time stock quote and financial statements API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Check parameters and quality","purpose":"Confirm ticker parameters, coverage, latency, success rate, and billing rule before the agent calls a provider.","sources":["Capability schemas","Provider metrics"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Execute market data calls","purpose":"Call selected finance capabilities and compose results into an analyst-style memo.","sources":["FMP","Twelve Data"]}],"usage_estimate":{"title":"Finance research workflow","summary":"A typical stock memo calls several market, fundamentals, filings, or news capabilities after free discovery and inspection.","typical_calls":"3-8","estimated_credits":"3-80 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"The range depends on provider billing rules and how many tickers, filings, or news sources the agent calls."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-supply-chain-research","name":"qveris-supply-chain-research","title":"Supply chain bottleneck research","description":"A QVeris-powered investment research workflow that maps value chains, finds scarce layers, ranks public-company research priorities, and cites live data capabilities.","overview":"Use this skill when an agent needs to turn a market theme into a source-backed supply-chain research workflow. It discovers finance, filings, company, news, and social capabilities through QVeris, inspects coverage and billing rules, then calls selected providers before ranking scarce layers and candidate companies.","official":true,"tags":["Finance","Supply Chain","Filings","Research","QVeris"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-supply-chain-research","manifest":"https://qveris.ai/skills/qveris-supply-chain-research/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-supply-chain-research/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-supply-chain-research"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-supply-chain-research","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-supply-chain-research","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-supply-chain-research"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-supply-chain-research"}]},"prompts":[{"id":"ai-infra-bottlenecks","title":"AI infrastructure bottlenecks","description":"Map scarce layers and rank public-company research priorities.","prompt":"Use QVeris to deeply research AI infrastructure supply-chain bottlenecks. Map the value chain, discover and inspect finance, filings, news, and company data capabilities, call the needed sources, rank the top 5 public-company research priorities, cite QVeris capabilities used, estimate paid Call count, and explain what could weaken each view."},{"id":"a-share-ai-semiconductor","title":"A-share AI semiconductor scan","description":"Build an A-share candidate universe, verify evidence, and rank scarce-layer exposure.","prompt":"Use QVeris to scan the A-share AI semiconductor value chain. Build at least 20 candidates if data coverage allows, rank layers before companies, call QVeris data for announcements, financial statements, company profiles, and news, then return a top 5 research priority list with evidence strength and main risks."},{"id":"challenge-company-thesis","title":"Challenge a company thesis","description":"Use QVeris evidence to test whether a company truly controls a scarce layer.","prompt":"Challenge the thesis that this company is a core supplier in its supply chain. Use QVeris to call filings, company profile, financials, quote, news, and relevant social or trade signals. Explain the exact value-chain position, evidence strength, missing proof, and what would make the thesis wrong."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities for thesis verification.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for A-share monitoring and source-backed market research.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and candidate screening.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find research data capabilities","purpose":"Search for market data, financial statements, company profiles, filings, transcripts, announcements, news, and social signal capabilities.","sources":["FMP","Twelve Data","THS iFinD","Caidazi","Finnhub","X"],"sample_query":"stock filings financial statements company news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Verify market coverage, ticker parameters, output schema, latency, success rate, and billing_rule before the agent calls a provider.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call evidence sources","purpose":"Execute selected data capabilities and compose results into a value-chain bottleneck ranking with source-backed evidence.","sources":["Market data providers","Financial data providers","News and social providers"]}],"usage_estimate":{"title":"Theme scan usage estimate","summary":"A single-company challenge typically needs a small set of paid calls; a broad theme scan may call several market, filing, financial, news, and company-profile capabilities after free discovery and inspection.","typical_calls":"8-25","estimated_credits":"8-250 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for user approval before running paid Calls. Inspect each selected capability's billing_rule and reduce scope if the estimated cost is too high."},"execution_flow":[{"title":"Scope the research question","description":"Clarify market, theme, time window, and whether the task is a theme scan, company challenge, or candidate comparison."},{"title":"Discover and inspect QVeris data","description":"Find required data capabilities, inspect coverage and billing, and ask approval before paid execution."},{"title":"Call sources and map layers","description":"Call selected providers, map value-chain layers, and separate strong evidence from leads."},{"title":"Rank and challenge","description":"Rank scarce layers and public-company priorities, then explain risks, missing proof, QVeris calls used, and next verification steps."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"chairman-daily-report","name":"chairman-daily-report","title":"Chairman daily report","description":"A daily briefing workflow that turns business metrics, market changes, and external signals into one report.","overview":"Use this skill when leadership needs a repeatable daily report instead of scattered links, screenshots, and manual summaries.","official":true,"tags":["Reports","Operations","Daily","Monitoring"],"scenarios":[{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."},{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/chairman-daily-report","manifest":"https://qveris.ai/skills/chairman-daily-report/manifest.json","agentGuide":"https://qveris.ai/skills/chairman-daily-report/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/chairman-daily-report"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"chairman-daily-report","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/chairman-daily-report","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/chairman-daily-report"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install chairman-daily-report"}]},"prompts":[{"id":"daily-exec-report","title":"Executive daily brief","description":"Combine internal context with market and public signals.","prompt":"Create a daily executive brief for our company. Include market changes, competitor updates, content platform signals, and the three most important decisions leadership should review."},{"id":"market-monitor","title":"Market monitor","description":"Track the outside world and summarize what changed.","prompt":"Monitor today's market, news, and social platform signals for the AI agent infrastructure sector. Summarize what changed, what matters, and which QVeris capabilities were used."}],"cases":[{"slug":"agent-action-long-term","title":"Agent action over time","description":"Why recurring agent workflows need reliable external capabilities.","source_label":"Perspective","url":"https://qveris.ai/blog/agent-action-long-term"},{"slug":"qveris-tikhub-content-platform-signals","title":"TikHub content platform signals","description":"Use public platform signals as part of operational reporting.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-tikhub-content-platform-signals"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find reporting inputs","purpose":"Search for market data, news, social signals, and other report-ready data sources.","sources":["News APIs","market data providers","content platform signals"],"sample_query":"company news and market signal API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Validate report sources","purpose":"Check each source before it becomes part of a recurring leadership report.","sources":["Provider schemas","quality signals"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Generate source-backed sections","purpose":"Execute selected capabilities and structure outputs into a concise daily brief.","sources":["QVeris execution runtime"]}],"usage_estimate":{"title":"Daily report workflow","summary":"Recurring reports usually combine multiple public data sources, so the paid portion scales with the number of sections and providers called.","typical_calls":"4-12","estimated_credits":"4-120 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Keep scheduled reports bounded by specifying the exact tickers, competitors, or signal sources to call."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"exchange-rate","name":"exchange-rate","title":"Exchange rate","description":"Currency conversion, FX monitoring, and historical exchange-rate lookup for agents.","overview":"Use this skill when the agent needs reliable conversion and FX context inside travel, ecommerce, finance, or reporting workflows.","official":true,"tags":["Forex","Conversion","Rates","Monitoring"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"travel","label":"Travel and places","description":"Real place data, reviews, ratings, and recommendation workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/exchange-rate","manifest":"https://qveris.ai/skills/exchange-rate/manifest.json","agentGuide":"https://qveris.ai/skills/exchange-rate/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/exchange-rate"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"exchange-rate","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/exchange-rate","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/exchange-rate"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install exchange-rate"}]},"prompts":[{"id":"trip-budget","title":"Travel budget conversion","description":"Make exchange-rate lookup part of a travel planning workflow.","prompt":"Convert a 250,000 JPY Tokyo hotel budget into USD and CNY using current rates. Include the timestamp or provider context if available."},{"id":"fx-monitor","title":"FX movement monitor","description":"Track rate movements for reporting or treasury workflows.","prompt":"Check USD/CNY, EUR/USD, and USD/JPY. Summarize today's movement and call out which pair changed the most."}],"cases":[{"slug":"qveris-tripadvisor-travel","title":"Travel planning with real place data","description":"Pair travel recommendations with reliable price conversion.","source_label":"Travel case","url":"https://qveris.ai/blog/qveris-tripadvisor-travel"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find exchange-rate providers","purpose":"Search for current, historical, or conversion-oriented FX capabilities.","sources":["FX providers"],"sample_query":"currency exchange rate conversion API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect currency coverage","purpose":"Check supported currencies, parameter shape, precision, and billing rule.","sources":["Capability schemas"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Convert or monitor rates","purpose":"Execute the selected FX capability and return structured rate data.","sources":["FX providers"]}],"usage_estimate":{"title":"FX lookup workflow","summary":"Currency lookup is usually a small workflow: free discovery and inspection, then one or a few exchange-rate calls.","typical_calls":"1-3","estimated_credits":"1-15 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Historical ranges, many currency pairs, or repeated monitoring can increase the number of paid calls."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"x-founder-operations","name":"x-founder-operations","title":"Founder content operations","description":"Research topics, monitor platform signals, and turn social data into founder-ready content workflows.","overview":"Use this when founders or growth teams need an agent that can monitor content platforms, analyze public signals, and help plan posts with evidence instead of guesses.","official":true,"tags":["Social","Content","TikHub","Growth"],"scenarios":[{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/x-founder-operations","manifest":"https://qveris.ai/skills/x-founder-operations/manifest.json","agentGuide":"https://qveris.ai/skills/x-founder-operations/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/x-founder-operations"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"x-founder-operations","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/x-founder-operations","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/x-founder-operations"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install x-founder-operations"}]},"prompts":[{"id":"platform-signal-report","title":"Platform signal report","description":"Use public content-platform signals to explain what is gaining traction.","prompt":"Research how AI agent infrastructure is being discussed across short-video and social platforms. Find evidence, summarize recurring narratives, and propose three founder posts grounded in the data."},{"id":"competitor-content","title":"Competitor content scan","description":"Turn competitor activity into actionable content planning.","prompt":"Scan public content signals for three competitors in our category. Identify their strongest narratives, most repeated user objections, and opportunities for our next post."}],"cases":[{"slug":"qveris-tikhub-content-platform-signals","title":"TikHub content platform signals","description":"Understand platform momentum across short video, social, commerce, and local life content.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-tikhub-content-platform-signals"},{"slug":"qveris-mapstory-history","title":"Map stories from public data","description":"Turn scattered public information into structured storytelling input.","source_label":"Use case","url":"https://qveris.ai/blog/qveris-mapstory-history"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find content platform capabilities","purpose":"Search for short-video, social, creator, post, comment, product, or local-life platform data capabilities.","sources":["TikHub","social platform data providers"],"sample_query":"short video platform content signal API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect platform schemas","purpose":"Confirm whether a capability supports accounts, posts, videos, comments, product data, or trend search.","sources":["TikHub capability schemas"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call signal sources","purpose":"Execute selected platform capabilities and turn raw signals into a founder-ready content brief.","sources":["TikHub"]}],"usage_estimate":{"title":"Content signal workflow","summary":"Content research typically calls search, account, post, or trend capabilities after free discovery and inspection.","typical_calls":"3-8","estimated_credits":"3-80 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Cost scales with the number of platforms, accounts, competitors, and result pages the agent requests."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-alt-data-demand-signal","name":"qveris-alt-data-demand-signal","title":"Alt data demand signal","description":"Use public demand proxies, search, social, app, review, traffic, news, and price reaction to monitor demand shifts.","overview":"Use this skill when an agent needs a source-backed alt data demand signal workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Alt","data","demand","signal"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-alt-data-demand-signal","manifest":"https://qveris.ai/skills/qveris-alt-data-demand-signal/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-alt-data-demand-signal/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-alt-data-demand-signal"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-alt-data-demand-signal","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-alt-data-demand-signal","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-alt-data-demand-signal"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-alt-data-demand-signal"}]},"prompts":[{"id":"main-brief","title":"Alt data demand signal","description":"Run the alt data demand signal workflow with QVeris data.","prompt":"Use QVeris to find alternative data demand signals for consumer AI apps. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run alt data demand signal for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find alt data demand signal data","purpose":"Find search, social, app, review, traffic, news, and quote data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"alternative data demand search social app review traffic news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call alt data demand signal evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-24 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-24","estimated_credits":"6-240 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-analyst-revision-tracker","name":"qveris-analyst-revision-tracker","title":"Analyst revision tracker","description":"Track estimate revisions, target changes, rating changes, earnings surprises, and price reaction.","overview":"Use this skill when an agent needs a source-backed analyst revision tracker workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Analyst","revision","tracker"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-analyst-revision-tracker","manifest":"https://qveris.ai/skills/qveris-analyst-revision-tracker/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-analyst-revision-tracker/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-analyst-revision-tracker"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-analyst-revision-tracker","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-analyst-revision-tracker","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-analyst-revision-tracker"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-analyst-revision-tracker"}]},"prompts":[{"id":"main-brief","title":"Analyst revision tracker","description":"Run the analyst revision tracker workflow with QVeris data.","prompt":"Use QVeris to track analyst revisions for the Magnificent Seven. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run analyst revision tracker for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find analyst revision tracker data","purpose":"Find analyst estimates, ratings, earnings, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"analyst revisions estimates target price rating changes API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call analyst revision tracker evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-bank-earnings-risk-review","name":"qveris-bank-earnings-risk-review","title":"Bank earnings risk review","description":"Review bank earnings, net interest margin, deposits, credit quality, CRE exposure, and capital return risks.","overview":"Use this skill when an agent needs a source-backed bank earnings risk review workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Bank","earnings","risk","review"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-bank-earnings-risk-review","manifest":"https://qveris.ai/skills/qveris-bank-earnings-risk-review/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-bank-earnings-risk-review/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-bank-earnings-risk-review"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-bank-earnings-risk-review","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-bank-earnings-risk-review","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-bank-earnings-risk-review"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-bank-earnings-risk-review"}]},"prompts":[{"id":"main-brief","title":"Bank earnings risk review","description":"Run the bank earnings risk review workflow with QVeris data.","prompt":"Use QVeris to review earnings risk for JPM, BAC, and WFC. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run bank earnings risk review for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find bank earnings risk review data","purpose":"Find bank financials, filings, earnings, rates, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"bank earnings NIM deposits credit quality CRE capital API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call bank earnings risk review evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-biotech-catalyst-calendar","name":"qveris-biotech-catalyst-calendar","title":"Biotech catalyst calendar","description":"Track clinical trial, FDA, earnings, financing, dilution, and partnership catalysts for biotech names.","overview":"Use this skill when an agent needs a source-backed biotech catalyst calendar workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Biotech","catalyst","calendar"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-biotech-catalyst-calendar","manifest":"https://qveris.ai/skills/qveris-biotech-catalyst-calendar/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-biotech-catalyst-calendar/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-biotech-catalyst-calendar"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-biotech-catalyst-calendar","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-biotech-catalyst-calendar","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-biotech-catalyst-calendar"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-biotech-catalyst-calendar"}]},"prompts":[{"id":"main-brief","title":"Biotech catalyst calendar","description":"Run the biotech catalyst calendar workflow with QVeris data.","prompt":"Use QVeris to build a biotech catalyst calendar for the next 60 days. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run biotech catalyst calendar for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find biotech catalyst calendar data","purpose":"Find biotech news, filings, calendars, quotes, and company profiles capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"biotech catalyst clinical trial FDA earnings financing API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call biotech catalyst calendar evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-buyback-monitor","name":"qveris-buyback-monitor","title":"Buyback monitor","description":"Track buyback authorizations, actual repurchases, cash flow support, dilution, and price reaction.","overview":"Use this skill when an agent needs a source-backed buyback monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Buyback","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-buyback-monitor","manifest":"https://qveris.ai/skills/qveris-buyback-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-buyback-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-buyback-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-buyback-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-buyback-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-buyback-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-buyback-monitor"}]},"prompts":[{"id":"main-brief","title":"Buyback monitor","description":"Run the buyback monitor workflow with QVeris data.","prompt":"Use QVeris to monitor buyback activity for large-cap tech names. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run buyback monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find buyback monitor data","purpose":"Find filings, cash flow, share count, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"share buyback authorization repurchase cash flow dilution API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call buyback monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-14 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-14","estimated_credits":"4-140 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-china-policy-radar","name":"qveris-china-policy-radar","title":"China policy radar","description":"Track China policy, A-share/HK sectors, regulatory changes, macro data, and company-level readthroughs.","overview":"Use this skill when an agent needs a source-backed china policy radar workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","China","policy","radar"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-china-policy-radar","manifest":"https://qveris.ai/skills/qveris-china-policy-radar/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-china-policy-radar/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-china-policy-radar"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-china-policy-radar","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-china-policy-radar","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-china-policy-radar"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-china-policy-radar"}]},"prompts":[{"id":"main-brief","title":"China policy radar","description":"Run the china policy radar workflow with QVeris data.","prompt":"Use QVeris to scan China policy changes affecting A-share AI and consumer names. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run china policy radar for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find china policy radar data","purpose":"Find China policy, A-share/HK market data, macro, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"China policy A-share HK sector regulatory macro news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call china policy radar evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-commodity-macro-brief","name":"qveris-commodity-macro-brief","title":"Commodity macro brief","description":"Summarize oil, gas, metals, agriculture, inventory, FX, rates, and equity readthroughs.","overview":"Use this skill when an agent needs a source-backed commodity macro brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Commodity","macro","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-commodity-macro-brief","manifest":"https://qveris.ai/skills/qveris-commodity-macro-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-commodity-macro-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-commodity-macro-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-commodity-macro-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-commodity-macro-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-commodity-macro-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-commodity-macro-brief"}]},"prompts":[{"id":"main-brief","title":"Commodity macro brief","description":"Run the commodity macro brief workflow with QVeris data.","prompt":"Use QVeris to create a commodity macro brief for oil, copper, and gold. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run commodity macro brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find commodity macro brief data","purpose":"Find commodities, inventories, FX, rates, and sector data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"commodity prices inventories FX rates equity impact API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call commodity macro brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-credit-spread-monitor","name":"qveris-credit-spread-monitor","title":"Credit spread monitor","description":"Monitor credit spreads, debt maturity, CDS/news proxies, rates, and equity stress transmission.","overview":"Use this skill when an agent needs a source-backed credit spread monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Credit","spread","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-credit-spread-monitor","manifest":"https://qveris.ai/skills/qveris-credit-spread-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-credit-spread-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-credit-spread-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-credit-spread-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-credit-spread-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-credit-spread-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-credit-spread-monitor"}]},"prompts":[{"id":"main-brief","title":"Credit spread monitor","description":"Run the credit spread monitor workflow with QVeris data.","prompt":"Use QVeris to explain whether credit stress is rising this week. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run credit spread monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find credit spread monitor data","purpose":"Find credit spreads, rates, debt, news, and equity data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"credit spread debt maturity CDS news equity stress API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call credit spread monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-crypto-market-brief","name":"qveris-crypto-market-brief","title":"Crypto market brief","description":"Track crypto price action, flows, funding, macro linkage, news, and risk events for a market note.","overview":"Use this skill when an agent needs a source-backed crypto market brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Crypto","market","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-crypto-market-brief","manifest":"https://qveris.ai/skills/qveris-crypto-market-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-crypto-market-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-crypto-market-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-crypto-market-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-crypto-market-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-crypto-market-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-crypto-market-brief"}]},"prompts":[{"id":"main-brief","title":"Crypto market brief","description":"Run the crypto market brief workflow with QVeris data.","prompt":"Use QVeris to brief BTC and ETH market structure today. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run crypto market brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find crypto market brief data","purpose":"Find crypto quotes, market data, flows, news, and macro data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"crypto price funding flows news macro correlation API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call crypto market brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-customer-exposure-map","name":"qveris-customer-exposure-map","title":"Customer exposure map","description":"Map customer, supplier, revenue exposure, concentration, contract news, and filing evidence.","overview":"Use this skill when an agent needs a source-backed customer exposure map workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Customer","exposure","map"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-customer-exposure-map","manifest":"https://qveris.ai/skills/qveris-customer-exposure-map/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-customer-exposure-map/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-customer-exposure-map"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-customer-exposure-map","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-customer-exposure-map","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-customer-exposure-map"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-customer-exposure-map"}]},"prompts":[{"id":"main-brief","title":"Customer exposure map","description":"Run the customer exposure map workflow with QVeris data.","prompt":"Use QVeris to map customer exposure for this semiconductor equipment company. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run customer exposure map for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find customer exposure map data","purpose":"Find company profiles, filings, supply-chain data, revenue, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"customer supplier revenue exposure concentration filing API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call customer exposure map evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-dividend-safety-check","name":"qveris-dividend-safety-check","title":"Dividend safety check","description":"Evaluate dividend coverage, cash flow, payout ratio, debt, maturity wall, and cut risk.","overview":"Use this skill when an agent needs a source-backed dividend safety check workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Dividend","safety","check"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-dividend-safety-check","manifest":"https://qveris.ai/skills/qveris-dividend-safety-check/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-dividend-safety-check/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-dividend-safety-check"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-dividend-safety-check","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-dividend-safety-check","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-dividend-safety-check"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-dividend-safety-check"}]},"prompts":[{"id":"main-brief","title":"Dividend safety check","description":"Run the dividend safety check workflow with QVeris data.","prompt":"Use QVeris to check dividend safety for these income stocks. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run dividend safety check for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find dividend safety check data","purpose":"Find dividends, cash flow, balance sheet, debt, and credit data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"dividend cash flow payout ratio debt maturity credit API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call dividend safety check evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-15 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-15","estimated_credits":"5-150 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-earnings-call-brief","name":"qveris-earnings-call-brief","title":"Earnings call brief","description":"Turn earnings releases, transcripts, guidance, analyst questions, news, and market reaction into an analyst-ready brief with QVeris evidence.","overview":"Use this skill when an agent needs to summarize an earnings event quickly without relying on stale model memory. It discovers transcript, filing, financial, quote, and news capabilities, calls only the requested event window, and returns a structured brief.","official":true,"tags":["Finance","Earnings","Transcripts","Guidance","Brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-earnings-call-brief","manifest":"https://qveris.ai/skills/qveris-earnings-call-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-earnings-call-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-earnings-call-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-earnings-call-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-earnings-call-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-earnings-call-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-earnings-call-brief"}]},"prompts":[{"id":"earnings-brief","title":"Earnings brief","description":"Summarize one earnings event.","prompt":"Use QVeris to create an earnings call brief for MSFT. Include reported numbers, guidance, transcript themes, analyst Q&A, market reaction, risks, QVeris capabilities used, paid Call count, and missing evidence."},{"id":"guidance-change","title":"Guidance change","description":"Find what changed versus prior expectations.","prompt":"Use QVeris to compare this quarter earnings guidance with prior quarter commentary and recent analyst expectations. Highlight changed assumptions and market reaction."},{"id":"qa-risk","title":"Q&A risk scan","description":"Extract risks from analyst questions and management answers.","prompt":"Use QVeris to scan the earnings transcript Q&A for demand, margin, competition, regulation, and capital allocation risks. Cite exact source types and separate management claims from evidence."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find earnings event data","purpose":"Find transcripts, earnings releases, financial statements, filings, quote reaction, calendar, and news capabilities.","sources":["transcript providers","FMP","Twelve Data","filing providers","news providers"],"sample_query":"earnings transcript financial results guidance quote reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect event coverage","purpose":"Verify transcript availability, event date, fields, pagination, and billing before execution.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call earnings evidence","purpose":"Call selected earnings sources and turn them into a concise analyst brief with source trace.","sources":["Transcript providers","Financial data providers","Market data providers","News providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-15 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"5-15","estimated_credits":"5-160 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Scope event","description":"Set ticker, quarter, event window, and whether to focus on results, guidance, or Q&A risk."},{"title":"Discover sources","description":"Use QVeris to find transcript, filing, financial, quote, and news capabilities."},{"title":"Call event window","description":"Call only the relevant event window and keep source trace for every claim."},{"title":"Brief and compare","description":"Return numbers, changed guidance, Q&A risk, market reaction, and follow-up checks."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-earnings-readthrough","name":"qveris-earnings-readthrough","title":"Earnings readthrough","description":"Find readthroughs from one company earnings event to suppliers, competitors, customers, and sector peers.","overview":"Use this skill when an agent needs a source-backed earnings readthrough workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Earnings","readthrough"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-earnings-readthrough","manifest":"https://qveris.ai/skills/qveris-earnings-readthrough/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-earnings-readthrough/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-earnings-readthrough"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-earnings-readthrough","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-earnings-readthrough","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-earnings-readthrough"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-earnings-readthrough"}]},"prompts":[{"id":"main-brief","title":"Earnings readthrough","description":"Run the earnings readthrough workflow with QVeris data.","prompt":"Use QVeris to map NVDA earnings readthroughs to suppliers and competitors. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run earnings readthrough for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find earnings readthrough data","purpose":"Find earnings, transcripts, supply chain, peers, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"earnings readthrough suppliers competitors customers sector peers API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call earnings readthrough evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-emerging-market-risk-radar","name":"qveris-emerging-market-risk-radar","title":"Emerging market risk radar","description":"Track EM FX, rates, credit, equities, commodities, policy, and geopolitical risk in one radar.","overview":"Use this skill when an agent needs a source-backed emerging market risk radar workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Emerging","market","risk","radar"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-emerging-market-risk-radar","manifest":"https://qveris.ai/skills/qveris-emerging-market-risk-radar/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-emerging-market-risk-radar/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-emerging-market-risk-radar"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-emerging-market-risk-radar","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-emerging-market-risk-radar","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-emerging-market-risk-radar"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-emerging-market-risk-radar"}]},"prompts":[{"id":"main-brief","title":"Emerging market risk radar","description":"Run the emerging market risk radar workflow with QVeris data.","prompt":"Use QVeris to identify the biggest emerging-market risks this week. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run emerging market risk radar for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find emerging market risk radar data","purpose":"Find EM FX, rates, credit, equities, commodities, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"emerging market FX rates credit equity commodity risk API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call emerging market risk radar evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-energy-inventory-impact","name":"qveris-energy-inventory-impact","title":"Energy inventory impact","description":"Explain oil and gas inventory releases, price reaction, energy equities, refiners, and macro readthroughs.","overview":"Use this skill when an agent needs a source-backed energy inventory impact workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Energy","inventory","impact"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-energy-inventory-impact","manifest":"https://qveris.ai/skills/qveris-energy-inventory-impact/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-energy-inventory-impact/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-energy-inventory-impact"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-energy-inventory-impact","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-energy-inventory-impact","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-energy-inventory-impact"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-energy-inventory-impact"}]},"prompts":[{"id":"main-brief","title":"Energy inventory impact","description":"Run the energy inventory impact workflow with QVeris data.","prompt":"Use QVeris to explain the latest energy inventory report impact. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run energy inventory impact for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find energy inventory impact data","purpose":"Find energy inventories, commodity prices, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"energy inventory oil gas price reaction equities API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call energy inventory impact evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-14 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-14","estimated_credits":"4-140 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-equity-research-report","name":"qveris-equity-research-report","title":"Equity research report","description":"Generate a source-backed equity research report with live fundamentals, market data, valuation context, news, risks, and QVeris call trace.","overview":"Use this skill when an agent needs to turn a ticker or company name into a professional equity research draft. It routes through QVeris to discover, inspect, and call financial statement, quote, company profile, peer, filings, and news capabilities before composing the report.","official":true,"tags":["Finance","Equity Research","Valuation","Filings","Reports"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-equity-research-report","manifest":"https://qveris.ai/skills/qveris-equity-research-report/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-equity-research-report/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-equity-research-report"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-equity-research-report","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-equity-research-report","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-equity-research-report"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-equity-research-report"}]},"prompts":[{"id":"single-company-report","title":"Single-company report","description":"Write a full research draft for one public company.","prompt":"Analyze NVDA using QVeris. Build an equity research report with business summary, latest price action, fundamentals, valuation context, peer comparison, recent filings or news, upside/downside risks, QVeris capabilities used, paid Call count, and what evidence is still missing."},{"id":"peer-benchmark","title":"Peer benchmark","description":"Compare one company against peers before writing the conclusion.","prompt":"Use QVeris to compare AMD, NVDA, and INTC across revenue growth, margin trend, valuation, market reaction, news catalysts, and key risks. Rank the evidence quality before giving a view."},{"id":"bear-case","title":"Bear-case review","description":"Pressure-test an optimistic thesis.","prompt":"Use QVeris to challenge the bull case for AAPL. Pull financials, recent news, filings, and peer valuation, then produce the strongest bear-case memo and the evidence that would disprove it."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find equity data capabilities","purpose":"Find quotes, financial statements, company profiles, peers, filings, transcripts, and news capabilities.","sources":["FMP","Twelve Data","SEC/filing providers","news providers"],"sample_query":"stock financial statements valuation peers news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Verify report inputs","purpose":"Check ticker coverage, fields, history length, latency, success rate, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call report evidence","purpose":"Execute selected sources and compose them into a research report with citations and a QVeris call trace.","sources":["Financial data providers","Filing providers","Market data providers","News providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-18 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"6-18","estimated_credits":"6-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Define report scope","description":"Set ticker, market, peer set, time window, required sections, and whether the output is initiation, update, or challenge memo."},{"title":"Discover and inspect sources","description":"Use QVeris Discover and Inspect before paid calls, then show estimated usage."},{"title":"Call evidence","description":"Call only the data needed for the report and separate facts from interpretation."},{"title":"Write and audit","description":"Return the report, evidence gaps, used capabilities, paid Call count, and not-investment-advice disclaimer."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-esg-controversy-radar","name":"qveris-esg-controversy-radar","title":"ESG controversy radar","description":"Track ESG controversies, regulatory actions, litigation, labor issues, and market reaction for listed companies.","overview":"Use this skill when an agent needs a source-backed esg controversy radar workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","ESG","controversy","radar"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-esg-controversy-radar","manifest":"https://qveris.ai/skills/qveris-esg-controversy-radar/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-esg-controversy-radar/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-esg-controversy-radar"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-esg-controversy-radar","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-esg-controversy-radar","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-esg-controversy-radar"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-esg-controversy-radar"}]},"prompts":[{"id":"main-brief","title":"ESG controversy radar","description":"Run the esg controversy radar workflow with QVeris data.","prompt":"Use QVeris to scan ESG controversy risk for this watchlist. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run esg controversy radar for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find esg controversy radar data","purpose":"Find news, filings, regulatory actions, litigation, and quotes capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"ESG controversy regulatory litigation labor news reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call esg controversy radar evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-etf-flow-monitor","name":"qveris-etf-flow-monitor","title":"ETF flow monitor","description":"Track ETF inflows, outflows, holdings, price action, and sector exposure for allocation signals.","overview":"Use this skill when an agent needs a source-backed etf flow monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","ETF","flow","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-etf-flow-monitor","manifest":"https://qveris.ai/skills/qveris-etf-flow-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-etf-flow-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-etf-flow-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-etf-flow-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-etf-flow-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-etf-flow-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-etf-flow-monitor"}]},"prompts":[{"id":"main-brief","title":"ETF flow monitor","description":"Run the etf flow monitor workflow with QVeris data.","prompt":"Use QVeris to monitor ETF flows for AI, semiconductors, and broad market ETFs. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run etf flow monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find etf flow monitor data","purpose":"Find ETF flows, holdings, quotes, and sector exposures capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"ETF flows holdings price action sector exposure API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call etf flow monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-factor-regime-watch","name":"qveris-factor-regime-watch","title":"Factor regime watch","description":"Track factor leadership, momentum/value/quality rotation, rates linkage, volatility, and sector breadth.","overview":"Use this skill when an agent needs a source-backed factor regime watch workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Factor","regime","watch"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-factor-regime-watch","manifest":"https://qveris.ai/skills/qveris-factor-regime-watch/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-factor-regime-watch/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-factor-regime-watch"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-factor-regime-watch","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-factor-regime-watch","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-factor-regime-watch"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-factor-regime-watch"}]},"prompts":[{"id":"main-brief","title":"Factor regime watch","description":"Run the factor regime watch workflow with QVeris data.","prompt":"Use QVeris to explain the current factor regime. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run factor regime watch for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find factor regime watch data","purpose":"Find factor data, sector performance, rates, volatility, and breadth capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"factor regime momentum value quality rates volatility breadth API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call factor regime watch evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-fed-rate-watch","name":"qveris-fed-rate-watch","title":"Fed rate watch","description":"Track Fed speeches, rate expectations, yield moves, inflation data, and market reaction for rate-sensitive assets.","overview":"Use this skill when an agent needs a source-backed fed rate watch workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Fed","rate","watch"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-fed-rate-watch","manifest":"https://qveris.ai/skills/qveris-fed-rate-watch/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-fed-rate-watch/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-fed-rate-watch"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-fed-rate-watch","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-fed-rate-watch","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-fed-rate-watch"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-fed-rate-watch"}]},"prompts":[{"id":"main-brief","title":"Fed rate watch","description":"Run the fed rate watch workflow with QVeris data.","prompt":"Use QVeris to brief today's Fed rate expectations and market impact. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run fed rate watch for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find fed rate watch data","purpose":"Find Fed, rates, yields, inflation, futures, and market reaction capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"Fed speeches rate expectations yield curve inflation market reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call fed rate watch evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-12 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-12","estimated_credits":"4-120 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-fx-carry-risk-brief","name":"qveris-fx-carry-risk-brief","title":"FX carry risk brief","description":"Analyze FX carry, rate differentials, volatility, central-bank events, and cross-asset risk.","overview":"Use this skill when an agent needs a source-backed fx carry risk brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","carry","risk","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-fx-carry-risk-brief","manifest":"https://qveris.ai/skills/qveris-fx-carry-risk-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-fx-carry-risk-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-fx-carry-risk-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-fx-carry-risk-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-fx-carry-risk-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-fx-carry-risk-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-fx-carry-risk-brief"}]},"prompts":[{"id":"main-brief","title":"FX carry risk brief","description":"Run the fx carry risk brief workflow with QVeris data.","prompt":"Use QVeris to review FX carry risk across USDJPY, EURUSD, and USDCNH. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run fx carry risk brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find fx carry risk brief data","purpose":"Find FX rates, central banks, volatility, and macro data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"FX carry rate differential volatility central bank API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call fx carry risk brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-14 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-14","estimated_credits":"4-140 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-guidance-tracker","name":"qveris-guidance-tracker","title":"Guidance tracker","description":"Track company guidance changes, management commentary, consensus estimates, and market reaction.","overview":"Use this skill when an agent needs a source-backed guidance tracker workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Guidance","tracker"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-guidance-tracker","manifest":"https://qveris.ai/skills/qveris-guidance-tracker/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-guidance-tracker/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-guidance-tracker"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-guidance-tracker","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-guidance-tracker","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-guidance-tracker"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-guidance-tracker"}]},"prompts":[{"id":"main-brief","title":"Guidance tracker","description":"Run the guidance tracker workflow with QVeris data.","prompt":"Use QVeris to track guidance changes after this earnings season. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run guidance tracker for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find guidance tracker data","purpose":"Find earnings, transcripts, filings, analyst estimates, and quotes capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"company guidance management commentary consensus estimate reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call guidance tracker evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-hedge-ideas-brief","name":"qveris-hedge-ideas-brief","title":"Hedge ideas brief","description":"Suggest neutral hedge candidates by exposure, beta, sector, rates, FX, commodity, and event risks.","overview":"Use this skill when an agent needs a source-backed hedge ideas brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Hedge","ideas","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-hedge-ideas-brief","manifest":"https://qveris.ai/skills/qveris-hedge-ideas-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-hedge-ideas-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-hedge-ideas-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-hedge-ideas-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-hedge-ideas-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-hedge-ideas-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-hedge-ideas-brief"}]},"prompts":[{"id":"main-brief","title":"Hedge ideas brief","description":"Run the hedge ideas brief workflow with QVeris data.","prompt":"Use QVeris to suggest hedge ideas for a concentrated AI portfolio. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run hedge ideas brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find hedge ideas brief data","purpose":"Find portfolio exposures, quotes, sectors, macro, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"hedge candidates beta sector rates FX commodity event risk API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call hedge ideas brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-hk-market-brief","name":"qveris-hk-market-brief","title":"HK market brief","description":"Summarize HK market movers, southbound flows, China policy, earnings, valuation, and risk.","overview":"Use this skill when an agent needs a source-backed hk market brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","market","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-hk-market-brief","manifest":"https://qveris.ai/skills/qveris-hk-market-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-hk-market-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-hk-market-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-hk-market-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-hk-market-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-hk-market-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-hk-market-brief"}]},"prompts":[{"id":"main-brief","title":"HK market brief","description":"Run the hk market brief workflow with QVeris data.","prompt":"Use QVeris to create today's HK market brief. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run hk market brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find hk market brief data","purpose":"Find HK quotes, flows, China policy, earnings, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"HK stock market movers southbound flow earnings valuation API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call hk market brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-inflation-pulse","name":"qveris-inflation-pulse","title":"Inflation pulse","description":"Monitor CPI, PPI, wage, commodity, rent, and breakeven signals that can shift inflation-sensitive trades.","overview":"Use this skill when an agent needs a source-backed inflation pulse workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Inflation","pulse"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-inflation-pulse","manifest":"https://qveris.ai/skills/qveris-inflation-pulse/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-inflation-pulse/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-inflation-pulse"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-inflation-pulse","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-inflation-pulse","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-inflation-pulse"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-inflation-pulse"}]},"prompts":[{"id":"main-brief","title":"Inflation pulse","description":"Run the inflation pulse workflow with QVeris data.","prompt":"Use QVeris to explain the latest inflation pulse and affected sectors. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run inflation pulse for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find inflation pulse data","purpose":"Find inflation, prices, wages, commodities, and breakeven indicators capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"CPI PPI wages commodities rent breakeven inflation API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call inflation pulse evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-16 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-16","estimated_credits":"5-160 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-insider-transaction-watch","name":"qveris-insider-transaction-watch","title":"Insider transaction watch","description":"Review insider buys, sells, 10b5-1 context, filings, and price reaction for governance signals.","overview":"Use this skill when an agent needs a source-backed insider transaction watch workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Insider","transaction","watch"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-insider-transaction-watch","manifest":"https://qveris.ai/skills/qveris-insider-transaction-watch/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-insider-transaction-watch/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-insider-transaction-watch"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-insider-transaction-watch","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-insider-transaction-watch","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-insider-transaction-watch"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-insider-transaction-watch"}]},"prompts":[{"id":"main-brief","title":"Insider transaction watch","description":"Run the insider transaction watch workflow with QVeris data.","prompt":"Use QVeris to check insider transaction signals for this watchlist. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run insider transaction watch for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find insider transaction watch data","purpose":"Find insider filings, company filings, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"insider transactions Form 4 filings 10b5-1 stock reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call insider transaction watch evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-16 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-16","estimated_credits":"5-160 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-investment-committee","name":"qveris-investment-committee","title":"Investment committee","description":"Run a multi-lens investment committee workflow that compares quality, value, growth, sentiment, technical, macro, and risk evidence through QVeris.","overview":"Use this skill when a user wants a debate-style investment memo instead of a one-shot stock summary. The agent assigns lenses, calls QVeris evidence for each lens, scores disagreements, and produces a decision-ready committee note.","official":true,"tags":["Finance","Committee","Multi-Agent","Risk","Thesis"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-investment-committee","manifest":"https://qveris.ai/skills/qveris-investment-committee/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-investment-committee/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-investment-committee"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-investment-committee","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-investment-committee","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-investment-committee"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-investment-committee"}]},"prompts":[{"id":"committee-debate","title":"Committee debate","description":"Run a buy/hold/sell debate with multiple evidence lenses.","prompt":"Use QVeris to run an investment committee debate for AAPL. Include quality, value, growth, sentiment, technical, macro, and risk lenses. Each lens must cite the QVeris capabilities called, then produce a final buy/hold/sell view with dissenting evidence."},{"id":"two-name-debate","title":"Two-name debate","description":"Compare two candidates and expose where analysts disagree.","prompt":"Use QVeris to compare MSFT and GOOGL as committee candidates. Assign bull and bear views, call the evidence needed for each, and end with a ranked decision and open questions."},{"id":"risk-veto","title":"Risk veto","description":"Let risk evidence overrule the investment case when needed.","prompt":"Use QVeris to test whether TSLA has a risk veto today. Call market data, recent news, fundamentals, filings, and sentiment, then decide whether risk overrides the thesis."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find committee evidence","purpose":"Find finance, news, filings, sentiment, technical, macro, and risk capabilities for each debate lens.","sources":["FMP","Twelve Data","filing providers","news providers","social providers"],"sample_query":"stock fundamentals news sentiment technical indicators macro risk API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect lens coverage","purpose":"Confirm every committee lens has adequate coverage and visible billing before execution.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call debate evidence","purpose":"Call selected capabilities, attach evidence to each lens, and produce a traceable committee memo.","sources":["Financial data providers","Market data providers","News and social providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 10-30 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"10-30","estimated_credits":"10-300 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Assign lenses","description":"Define the committee lenses and what evidence would change each view."},{"title":"Discover source plan","description":"Use QVeris to find data capabilities for each lens and inspect costs before calls."},{"title":"Debate with evidence","description":"Call evidence, score confidence, and record disagreement between lenses."},{"title":"Decide with dissent","description":"Return final view, dissenting evidence, risk vetoes, and usage trace."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-ipo-lockup-monitor","name":"qveris-ipo-lockup-monitor","title":"IPO lockup monitor","description":"Track IPO lockup expirations, float changes, insider sales, secondary offerings, and price pressure.","overview":"Use this skill when an agent needs a source-backed ipo lockup monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","IPO","lockup","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-ipo-lockup-monitor","manifest":"https://qveris.ai/skills/qveris-ipo-lockup-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-ipo-lockup-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-ipo-lockup-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-ipo-lockup-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-ipo-lockup-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-ipo-lockup-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-ipo-lockup-monitor"}]},"prompts":[{"id":"main-brief","title":"IPO lockup monitor","description":"Run the ipo lockup monitor workflow with QVeris data.","prompt":"Use QVeris to monitor upcoming IPO lockup expirations. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run ipo lockup monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find ipo lockup monitor data","purpose":"Find IPO filings, lockup calendars, insider filings, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"IPO lockup float insider sale secondary offering API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call ipo lockup monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-liquidity-stress-monitor","name":"qveris-liquidity-stress-monitor","title":"Liquidity stress monitor","description":"Monitor bid-ask, volume, credit, funding, ETF dislocation, and volatility signals for stress.","overview":"Use this skill when an agent needs a source-backed liquidity stress monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Liquidity","stress","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-liquidity-stress-monitor","manifest":"https://qveris.ai/skills/qveris-liquidity-stress-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-liquidity-stress-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-liquidity-stress-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-liquidity-stress-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-liquidity-stress-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-liquidity-stress-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-liquidity-stress-monitor"}]},"prompts":[{"id":"main-brief","title":"Liquidity stress monitor","description":"Run the liquidity stress monitor workflow with QVeris data.","prompt":"Use QVeris to check whether market liquidity stress is rising. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run liquidity stress monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find liquidity stress monitor data","purpose":"Find market data, volume, credit, ETF, and volatility data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"liquidity stress volume spread ETF dislocation volatility API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call liquidity stress monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-macro-daily-brief","name":"qveris-macro-daily-brief","title":"Macro daily brief","description":"Summarize macro data, rates, FX, commodities, equity index moves, and cross-asset risks for a daily market note.","overview":"Use this skill when an agent needs a source-backed macro daily brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Macro","daily","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-macro-daily-brief","manifest":"https://qveris.ai/skills/qveris-macro-daily-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-macro-daily-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-macro-daily-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-macro-daily-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-macro-daily-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-macro-daily-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-macro-daily-brief"}]},"prompts":[{"id":"main-brief","title":"Macro daily brief","description":"Run the macro daily brief workflow with QVeris data.","prompt":"Create a macro daily brief for US markets today. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run macro daily brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find macro daily brief data","purpose":"Find macro, rates, FX, commodities, equity index, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"macro daily brief rates FX commodities equity index market news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call macro daily brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-14 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-14","estimated_credits":"4-140 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-merger-arb-brief","name":"qveris-merger-arb-brief","title":"Merger arbitrage brief","description":"Analyze deal spread, regulatory risk, financing risk, shareholder votes, timeline, and news updates.","overview":"Use this skill when an agent needs a source-backed merger arb brief workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Merger","arbitrage","brief"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-merger-arb-brief","manifest":"https://qveris.ai/skills/qveris-merger-arb-brief/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-merger-arb-brief/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-merger-arb-brief"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-merger-arb-brief","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-merger-arb-brief","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-merger-arb-brief"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-merger-arb-brief"}]},"prompts":[{"id":"main-brief","title":"Merger arbitrage brief","description":"Run the merger arb brief workflow with QVeris data.","prompt":"Use QVeris to brief the merger-arbitrage setup for this announced deal. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run merger arb brief for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find merger arb brief data","purpose":"Find deal news, filings, quotes, spreads, and regulatory data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"merger arbitrage deal spread regulatory financing shareholder vote API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call merger arb brief evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-news-sentiment-radar","name":"qveris-news-sentiment-radar","title":"News sentiment radar","description":"Monitor market-moving news, social sentiment, filings, and price reaction with QVeris so agents can separate confirmed catalysts from noisy attention.","overview":"Use this skill for daily watchlists, catalyst scans, and event-driven risk checks. It discovers news, social, filing, and quote capabilities, inspects source quality, calls bounded windows, and returns a signal table with confidence and next checks.","official":true,"tags":["Finance","News","Sentiment","Catalysts","Monitoring"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-news-sentiment-radar","manifest":"https://qveris.ai/skills/qveris-news-sentiment-radar/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-news-sentiment-radar/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-news-sentiment-radar"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-news-sentiment-radar","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-news-sentiment-radar","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-news-sentiment-radar"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-news-sentiment-radar"}]},"prompts":[{"id":"ticker-radar","title":"Ticker radar","description":"Summarize news and sentiment for one ticker.","prompt":"Use QVeris to build a 7-day news and sentiment radar for TSLA. Separate confirmed news, filing events, analyst or media narratives, social momentum, price reaction, and unresolved rumors. Include QVeris calls used and estimated credits."},{"id":"watchlist-radar","title":"Watchlist radar","description":"Scan a list for what changed today.","prompt":"Use QVeris to scan AAPL, NVDA, MSFT, AMD, and TSLA for the strongest news and sentiment changes today. Rank by market relevance, not article count."},{"id":"rumor-check","title":"Rumor check","description":"Check whether a market rumor has enough evidence.","prompt":"Use QVeris to check whether the rumor about this company has credible support. Call news, filings, quote reaction, and social signals, then label it confirmed, weak, or unsupported."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find news and sentiment sources","purpose":"Find company news, filings, social posts, search trend, and market reaction capabilities.","sources":["news providers","X","Reddit","filing providers","market data providers"],"sample_query":"company news social sentiment filings quote reaction API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect source quality","purpose":"Check source recency, result fields, pagination, market coverage, and billing_rule before calling.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call bounded windows","purpose":"Call only the requested lookback window and convert raw items into signal categories.","sources":["News providers","Social providers","Filing providers","Market data providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-20 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"5-20","estimated_credits":"5-150 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Set watch scope","description":"Define tickers, market, lookback window, and whether the task is daily radar or rumor check."},{"title":"Discover source mix","description":"Use QVeris to find news, social, filings, and quote reaction capabilities."},{"title":"Call and cluster","description":"Call bounded sources, dedupe events, and cluster signals by catalyst type."},{"title":"Rank confidence","description":"Rank market relevance, confidence, what changed, and what needs verification."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-options-volatility-scan","name":"qveris-options-volatility-scan","title":"Options volatility scan","description":"Scan implied volatility, skew, volume, open interest, and event risk for options-driven signals.","overview":"Use this skill when an agent needs a source-backed options volatility scan workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Options","volatility","scan"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-options-volatility-scan","manifest":"https://qveris.ai/skills/qveris-options-volatility-scan/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-options-volatility-scan/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-options-volatility-scan"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-options-volatility-scan","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-options-volatility-scan","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-options-volatility-scan"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-options-volatility-scan"}]},"prompts":[{"id":"main-brief","title":"Options volatility scan","description":"Run the options volatility scan workflow with QVeris data.","prompt":"Use QVeris to scan unusual options volatility for NVDA and TSLA. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run options volatility scan for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find options volatility scan data","purpose":"Find options, implied volatility, skew, volume, and event calendars capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"options implied volatility skew volume open interest API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call options volatility scan evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-portfolio-risk-monitor","name":"qveris-portfolio-risk-monitor","title":"Portfolio risk monitor","description":"Monitor a portfolio for concentration, drawdown, volatility, catalyst, news, and liquidity risks with auditable QVeris calls.","overview":"Use this skill for daily portfolio reviews and risk alerts. The agent reads holdings, discovers relevant QVeris market and news capabilities, asks before paid calls, and returns a risk dashboard with recommended checks.","official":true,"tags":["Finance","Portfolio","Risk","Monitoring","Alerts"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-portfolio-risk-monitor","manifest":"https://qveris.ai/skills/qveris-portfolio-risk-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-portfolio-risk-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-portfolio-risk-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-portfolio-risk-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-portfolio-risk-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-portfolio-risk-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-portfolio-risk-monitor"}]},"prompts":[{"id":"portfolio-review","title":"Portfolio review","description":"Review a portfolio for risk and catalysts.","prompt":"Use QVeris to review this portfolio: AAPL 25%, NVDA 25%, MSFT 20%, TSLA 15%, cash 15%. Flag concentration, drawdown, volatility, liquidity, catalyst, and news risks. Include QVeris calls used and estimated credits."},{"id":"daily-risk-alert","title":"Daily risk alert","description":"Find what changed in portfolio risk today.","prompt":"Use QVeris to create a daily risk alert for this watchlist. Focus on price gaps, unusual volatility, major news, earnings dates, and liquidity changes."},{"id":"rebalance-check","title":"Rebalance check","description":"Check whether risk suggests trimming or adding exposure.","prompt":"Use QVeris to check whether this portfolio needs rebalancing. Do not give personalized investment advice; show risk drivers, evidence, and neutral actions to consider."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find portfolio risk data","purpose":"Find quote, historical price, volatility, liquidity, earnings calendar, filings, and news capabilities.","sources":["FMP","Twelve Data","market data providers","news providers"],"sample_query":"portfolio risk volatility liquidity earnings calendar news API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect portfolio coverage","purpose":"Check coverage for every holding and show estimated calls before execution.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call risk signals","purpose":"Call market, calendar, and news sources to generate risk alerts and concentration summaries.","sources":["Market data providers","Calendar providers","News providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-24 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"6-24","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Parse holdings","description":"Normalize tickers, weights, cash, benchmark, and alert threshold."},{"title":"Discover coverage","description":"Use QVeris to find data for each holding and inspect paid-call cost."},{"title":"Call risk data","description":"Call bounded quote, volatility, liquidity, catalyst, and news data."},{"title":"Return dashboard","description":"Return risk scores, top changes, usage trace, and neutral actions to consider."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-price-volume-anomaly-scan","name":"qveris-price-volume-anomaly-scan","title":"Price volume anomaly scan","description":"Find unusual price-volume moves, gap events, news matches, filings, and liquidity context.","overview":"Use this skill when an agent needs a source-backed price volume anomaly scan workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Price","volume","anomaly","scan"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-price-volume-anomaly-scan","manifest":"https://qveris.ai/skills/qveris-price-volume-anomaly-scan/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-price-volume-anomaly-scan/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-price-volume-anomaly-scan"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-price-volume-anomaly-scan","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-price-volume-anomaly-scan","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-price-volume-anomaly-scan"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-price-volume-anomaly-scan"}]},"prompts":[{"id":"main-brief","title":"Price volume anomaly scan","description":"Run the price volume anomaly scan workflow with QVeris data.","prompt":"Use QVeris to scan today's price-volume anomalies in US tech stocks. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run price volume anomaly scan for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find price volume anomaly scan data","purpose":"Find quotes, OHLCV, volume, news, filings, and liquidity data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"price volume anomaly gap news filing liquidity API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call price volume anomaly scan evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-24 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-24","estimated_credits":"6-240 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-quant-factor-screen","name":"qveris-quant-factor-screen","title":"Quant factor screen","description":"Rank a stock universe with transparent QVeris factor evidence across quality, momentum, valuation, liquidity, volatility, and news risk.","overview":"Use this skill when a user asks an agent to screen many stocks, build a candidate universe, or explain factor-driven rankings. It does not train a model; it builds a transparent factor table from live QVeris calls and highlights missing data.","official":true,"tags":["Finance","Quant","Factors","Screening","Ranking"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-quant-factor-screen","manifest":"https://qveris.ai/skills/qveris-quant-factor-screen/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-quant-factor-screen/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-quant-factor-screen"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-quant-factor-screen","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-quant-factor-screen","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-quant-factor-screen"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-quant-factor-screen"}]},"prompts":[{"id":"theme-screen","title":"Theme screen","description":"Rank a theme universe by transparent factors.","prompt":"Use QVeris to screen 50 AI infrastructure stocks by quality, momentum, valuation, liquidity, volatility, and news risk. Return top 10, bottom 5, missing data, factor weights, QVeris calls used, and estimated credits."},{"id":"a-share-screen","title":"A-share screen","description":"Build an A-share candidate list.","prompt":"Use QVeris to screen A-share semiconductor equipment stocks. Rank by growth, profitability, balance-sheet quality, liquidity, valuation, and recent catalysts."},{"id":"factor-audit","title":"Factor audit","description":"Explain why a name ranked high or low.","prompt":"Use QVeris to audit why this stock ranks high in a factor screen. Show the raw factor evidence, missing fields, and which factor dominates the score."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find factor inputs","purpose":"Find quote, OHLCV, fundamentals, valuation, financial statements, news, and liquidity capabilities.","sources":["FMP","Twelve Data","financial data providers","news providers"],"sample_query":"stock factor screening fundamentals OHLCV valuation liquidity API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect universe coverage","purpose":"Check how many tickers each provider covers and estimate cost before batch calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call factor inputs","purpose":"Call selected inputs, normalize factors, and return ranks with missing-data warnings.","sources":["Market data providers","Financial data providers","News providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 8-40 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.","typical_calls":"8-40","estimated_credits":"8-400 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high."},"execution_flow":[{"title":"Define universe","description":"Set market, theme, tickers, factor set, weights, and maximum paid calls."},{"title":"Inspect batch cost","description":"Use QVeris Inspect to see coverage and billing before broad execution."},{"title":"Build factor table","description":"Call bounded data, normalize comparable fields, and mark missing data."},{"title":"Rank and explain","description":"Return ranks, factor drivers, outliers, and next verification steps."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-reit-risk-monitor","name":"qveris-reit-risk-monitor","title":"REIT risk monitor","description":"Monitor REIT rates sensitivity, occupancy, debt maturity, dividend coverage, and property-sector news.","overview":"Use this skill when an agent needs a source-backed reit risk monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","REIT","risk","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-reit-risk-monitor","manifest":"https://qveris.ai/skills/qveris-reit-risk-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-reit-risk-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-reit-risk-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-reit-risk-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-reit-risk-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-reit-risk-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-reit-risk-monitor"}]},"prompts":[{"id":"main-brief","title":"REIT risk monitor","description":"Run the reit risk monitor workflow with QVeris data.","prompt":"Use QVeris to review REIT risk for data center and office REITs. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run reit risk monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find reit risk monitor data","purpose":"Find REIT financials, rates, dividends, news, and property data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"REIT rates occupancy debt maturity dividend coverage API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call reit risk monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-16 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-16","estimated_credits":"5-160 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-risk-parity-dashboard","name":"qveris-risk-parity-dashboard","title":"Risk parity dashboard","description":"Build a cross-asset risk dashboard across equities, bonds, commodities, FX, volatility, and correlations.","overview":"Use this skill when an agent needs a source-backed risk parity dashboard workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Risk","parity","dashboard"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-risk-parity-dashboard","manifest":"https://qveris.ai/skills/qveris-risk-parity-dashboard/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-risk-parity-dashboard/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-risk-parity-dashboard"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-risk-parity-dashboard","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-risk-parity-dashboard","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-risk-parity-dashboard"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-risk-parity-dashboard"}]},"prompts":[{"id":"main-brief","title":"Risk parity dashboard","description":"Run the risk parity dashboard workflow with QVeris data.","prompt":"Use QVeris to build a risk-parity dashboard for this week. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run risk parity dashboard for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find risk parity dashboard data","purpose":"Find cross-asset prices, volatility, rates, FX, commodities, and correlations capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"risk parity equity bond commodity FX volatility correlation API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call risk parity dashboard evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 7-24 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"7-24","estimated_credits":"7-240 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-scenario-sensitivity-builder","name":"qveris-scenario-sensitivity-builder","title":"Scenario sensitivity builder","description":"Build bull, base, and bear-case sensitivities from revenue, margin, valuation, rates, and catalyst assumptions.","overview":"Use this skill when an agent needs a source-backed scenario sensitivity builder workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Scenario","sensitivity","builder"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-scenario-sensitivity-builder","manifest":"https://qveris.ai/skills/qveris-scenario-sensitivity-builder/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-scenario-sensitivity-builder/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-scenario-sensitivity-builder"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-scenario-sensitivity-builder","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-scenario-sensitivity-builder","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-scenario-sensitivity-builder"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-scenario-sensitivity-builder"}]},"prompts":[{"id":"main-brief","title":"Scenario sensitivity builder","description":"Run the scenario sensitivity builder workflow with QVeris data.","prompt":"Use QVeris to build bull/base/bear sensitivity for AMD. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run scenario sensitivity builder for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find scenario sensitivity builder data","purpose":"Find financials, valuation, macro rates, forecasts, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"scenario sensitivity revenue margin valuation rates catalyst API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call scenario sensitivity builder evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-22 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-22","estimated_credits":"6-220 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-sec-filing-digest","name":"qveris-sec-filing-digest","title":"SEC filing digest","description":"Digest 10-K, 10-Q, 8-K, S-1, 13F, Form 4, and risk-factor changes into an analyst note.","overview":"Use this skill when an agent needs a source-backed sec filing digest workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","SEC","filing","digest"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-sec-filing-digest","manifest":"https://qveris.ai/skills/qveris-sec-filing-digest/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-sec-filing-digest/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-sec-filing-digest"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-sec-filing-digest","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-sec-filing-digest","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-sec-filing-digest"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-sec-filing-digest"}]},"prompts":[{"id":"main-brief","title":"SEC filing digest","description":"Run the sec filing digest workflow with QVeris data.","prompt":"Use QVeris to summarize the latest SEC filings for AAPL and NVDA. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run sec filing digest for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find sec filing digest data","purpose":"Find SEC filings, company profiles, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"SEC filings 10-K 10-Q 8-K S-1 13F Form 4 API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call sec filing digest evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-14 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-14","estimated_credits":"4-140 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-sector-rotation-map","name":"qveris-sector-rotation-map","title":"Sector rotation map","description":"Map sector performance, flows, earnings revisions, valuation, and catalysts to explain market rotation.","overview":"Use this skill when an agent needs a source-backed sector rotation map workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Sector","rotation","map"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-sector-rotation-map","manifest":"https://qveris.ai/skills/qveris-sector-rotation-map/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-sector-rotation-map/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-sector-rotation-map"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-sector-rotation-map","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-sector-rotation-map","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-sector-rotation-map"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-sector-rotation-map"}]},"prompts":[{"id":"main-brief","title":"Sector rotation map","description":"Run the sector rotation map workflow with QVeris data.","prompt":"Use QVeris to map the strongest sector rotation this week. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run sector rotation map for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find sector rotation map data","purpose":"Find sector performance, ETF flows, earnings revisions, and valuation capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"sector performance ETF flows earnings revisions valuation API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call sector rotation map evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-short-interest-watch","name":"qveris-short-interest-watch","title":"Short interest watch","description":"Track short interest, borrow pressure, squeeze risk, price action, volume, and catalyst context.","overview":"Use this skill when an agent needs a source-backed short interest watch workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Short","interest","watch"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-short-interest-watch","manifest":"https://qveris.ai/skills/qveris-short-interest-watch/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-short-interest-watch/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-short-interest-watch"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-short-interest-watch","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-short-interest-watch","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-short-interest-watch"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-short-interest-watch"}]},"prompts":[{"id":"main-brief","title":"Short interest watch","description":"Run the short interest watch workflow with QVeris data.","prompt":"Use QVeris to review short interest and squeeze risk for this ticker list. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run short interest watch for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find short interest watch data","purpose":"Find short interest, borrow, quotes, volume, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"short interest borrow fee squeeze risk volume catalyst API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call short interest watch evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 5-18 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"5-18","estimated_credits":"5-180 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-valuation-comps-builder","name":"qveris-valuation-comps-builder","title":"Valuation comps builder","description":"Build peer comps, multiples, growth, margin, balance-sheet, and catalyst context for valuation.","overview":"Use this skill when an agent needs a source-backed valuation comps builder workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Valuation","comps","builder"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-valuation-comps-builder","manifest":"https://qveris.ai/skills/qveris-valuation-comps-builder/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-valuation-comps-builder/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-valuation-comps-builder"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-valuation-comps-builder","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-valuation-comps-builder","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-valuation-comps-builder"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-valuation-comps-builder"}]},"prompts":[{"id":"main-brief","title":"Valuation comps builder","description":"Run the valuation comps builder workflow with QVeris data.","prompt":"Use QVeris to build a valuation comps table for SNOW. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run valuation comps builder for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find valuation comps builder data","purpose":"Find financials, valuation, peers, quotes, and news capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"valuation comps multiples growth margin peer API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call valuation comps builder evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 6-20 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"6-20","estimated_credits":"6-200 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"qveris-yield-curve-monitor","name":"qveris-yield-curve-monitor","title":"Yield curve monitor","description":"Analyze yield curve shifts, curve steepening or inversion, credit impact, and equity-sector readthroughs.","overview":"Use this skill when an agent needs a source-backed yield curve monitor workflow. It uses QVeris to discover, inspect, and call the required data capabilities, then returns an auditable brief with evidence strength, missing data, estimated usage, and risk notes.","official":true,"tags":["Finance","Yield","curve","monitor"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-yield-curve-monitor","manifest":"https://qveris.ai/skills/qveris-yield-curve-monitor/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-yield-curve-monitor/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-yield-curve-monitor"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-yield-curve-monitor","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-yield-curve-monitor","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-yield-curve-monitor"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install qveris-yield-curve-monitor"}]},"prompts":[{"id":"main-brief","title":"Yield curve monitor","description":"Run the yield curve monitor workflow with QVeris data.","prompt":"Use QVeris to explain today's yield curve move and risk implications. Include data sources discovered, capabilities inspected, paid Calls used, estimated credits, evidence gaps, and risks."},{"id":"watchlist-scan","title":"Watchlist scan","description":"Run the workflow across a bounded ticker list.","prompt":"Use QVeris to run yield curve monitor for AAPL, NVDA, MSFT, and TSLA. Rank by evidence quality and market relevance."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for global research and screening workflows.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for source-backed A-share monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find yield curve monitor data","purpose":"Find Treasury yields, curve spreads, credit, and sector data capabilities needed for this workflow.","sources":["QVeris capability index","financial data providers","market data providers","news and filing providers"],"sample_query":"yield curve treasury rates credit spread sector impact API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect coverage and billing","purpose":"Check coverage, parameters, freshness, latency, success signals, and billing_rule before paid calls.","sources":["Capability schemas","Provider metrics","Billing rules"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call yield curve monitor evidence","purpose":"Execute bounded QVeris calls and compose results into a traceable finance brief.","sources":["Market data providers","Financial data providers","News providers","Filing providers"]}],"usage_estimate":{"title":"Expected QVeris usage","summary":"This workflow usually needs 4-12 paid Calls after free Discover and Inspect preflight. Cost depends on provider billing, ticker count, and time window.","typical_calls":"4-12","estimated_credits":"4-120 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Ask for explicit approval before paid Calls. Reduce tickers, windows, or source count if the estimate is above budget."},"execution_flow":[{"title":"Set scope","description":"Define market, tickers, time window, output format, and maximum paid-call budget."},{"title":"Discover and inspect","description":"Use QVeris Discover and Inspect to choose sources before paid execution."},{"title":"Call bounded evidence","description":"Call only the required data capabilities and preserve source traceability."},{"title":"Brief with caveats","description":"Return findings, evidence strength, missing proof, usage trace, and not-investment-advice language."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]}]}