{"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.cn/skills/catalog.json","skill":"https://qveris.cn/skills/qveris-investment-committee","manifest":"https://qveris.cn/skills/qveris-investment-committee/manifest.json","agentGuide":"https://qveris.cn/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.cn/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.cn/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.cn/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."]}