by QVeris
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.
Generate a source-backed equity research report with live fundamentals, market data, valuation context, news, risks, and QVeris call trace.
Investor research agents, portfolio monitors, and analyst workflows
A source-backed research brief with evidence, risk notes, QVeris calls used, and estimated credits.
Each article or tutorial is treated as a reusable workflow source: content, copied prompt, QVeris API recipe, and expected output.
Product article
Turn structured financial data into callable agent capabilities.
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.
Analyst memo · Markdown memo
Product article
Add market data coverage for global research and screening workflows.
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.
Signal table · Table
Tutorial
A practical workflow for source-backed A-share monitoring.
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.
Audit appendix · JSON / appendix
Starter prompts that turn the skill into executable agent work.
Write a full research draft for one public company.
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.
Compare one company against peers before writing the conclusion.
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.
Pressure-test an optimistic thesis.
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.
The formats an agent should return after the workflow runs, with enough structure for reuse and auditing.
A concise research memo with conclusion, evidence, dissent, and caveats.
A scan-friendly table for tickers, sources, events, or watchlist items.
A provenance record of capabilities, sources, windows, and estimated cost.
The concrete Discover, Inspect, and Call sequence this skill expects the agent to run.
POST /searchFind quotes, financial statements, company profiles, peers, filings, transcripts, and news capabilities.
Sample query: stock financial statements valuation peers news API
POST /tools/by-idsCheck ticker coverage, fields, history length, latency, success rate, and billing_rule before paid calls.
POST /tools/executeExecute selected sources and compose them into a research report with citations and a QVeris call trace.
A planning estimate before execution. Discover and Inspect are free; successful Call execution follows the selected provider billing rule.
This workflow usually needs 6-18 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.
Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high.
Install the skill in the target agent environment. Agents must ask before running commands or changing local configuration.
This is the source of record for QVeris skills. Inspect or fork the skill folder before installing it in an agent environment.
QVerisAI/open-qveris-skills/qveris-equity-research-reportgit clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-equity-research-reportopenclaw skills install qveris-equity-research-reportThe visible chain the agent should expose after the user copies a prompt.
Set ticker, market, peer set, time window, required sections, and whether the output is initiation, update, or challenge memo.
Use QVeris Discover and Inspect before paid calls, then show estimated usage.
Call only the data needed for the report and separate facts from interpretation.
Return the report, evidence gaps, used capabilities, paid Call count, and not-investment-advice disclaimer.
Read manifest and agent.md first. Explain the install command, API actions, and possible credit usage. Wait for explicit approval before making local changes.