{"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.cn/skills/catalog.json","skill":"https://qveris.cn/skills/qveris-liquidity-stress-monitor","manifest":"https://qveris.cn/skills/qveris-liquidity-stress-monitor/manifest.json","agentGuide":"https://qveris.cn/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.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 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."]}