{ "schemaVersion": "1.0", "item": { "slug": "stock-copilot-pro", "name": "Stock Copilot Pro", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro", "canonicalUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/stock-copilot-pro", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=stock-copilot-pro", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "SKILL.md", "config/openclaw-cron.example.json", "config/watchlist.example.json", "config/watchlist.json", "references/metrics-and-signals.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/stock-copilot-pro" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/stock-copilot-pro", "agentPageUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent", "manifestUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.json", "briefUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Stock Copilot Pro", "body": "Global Multi-Source Stock Analysis with QVeris." }, { "title": "SEO Keywords", "body": "OpenClaw, stock analysis skill, AI stock copilot, China A-shares, Hong Kong stocks, US stocks, quantitative analysis, fundamental analysis, technical analysis, sentiment analysis, industry radar, morning evening brief, watchlist, portfolio monitoring, QVeris API, THS iFinD, Caidazi, Alpha Vantage, Finnhub, X sentiment, investment research assistant" }, { "title": "Supported Capabilities", "body": "Single-stock analysis (analyze): valuation, quality, technicals, sentiment, risk/timing\nMulti-stock comparison (compare): cross-symbol ranking and portfolio-level view\nWatchlist/holdings management (watch): list/add/remove for holdings and watchlist\nMorning/Evening brief (brief): holdings-focused daily actionable briefing\nIndustry hot-topic radar (radar): multi-source topic aggregation for investable themes\nMulti-format output: markdown, json, chat\nOpenClaw LLM-ready flow: structured data in code + guided narrative in SKILL.md" }, { "title": "Data Sources", "body": "Core MCP/API gateway: qveris.ai (QVERIS_API_KEY)\nCN/HK quote and fundamentals:\n\nths_ifind.real_time_quotation\nths_ifind.financial_statements\nths_ifind.company_basics\nths_ifind.history_quotation\n\n\nCN/HK news and research:\n\ncaidazi.news.query\ncaidazi.report.query\ncaidazi.search.hybrid.list\ncaidazi.search.hybrid_v2.query\n\n\nGlobal news sentiment:\n\nalpha_news_sentiment\nfinnhub.news\n\n\nX/Twitter sentiment and hot topics:\n\nqveris_social.x_domain_hot_topics\nqveris_social.x_domain_hot_events\nqveris_social.x_domain_new_posts\nx_developer.2.tweets.search.recent" }, { "title": "What This Skill Does", "body": "Stock Copilot Pro performs end-to-end stock analysis with five data domains:\n\nMarket quote / trading context\nFundamental metrics\nTechnical signals (RSI/MACD/MA)\nNews and sentiment\nX sentiment\n\nIt then generates a data-rich analyst report with:\n\nvalue-investing scorecard\nevent-timing anti-chasing classification\nsafety-margin estimate\nthesis-driven investment framework (drivers/risks/scenarios/KPIs)\nmulti-style playbooks (value/balanced/growth/trading)\nevent radar with candidate ideas from news and X\nscenario-based recommendations\nstandard readable output (default) + optional full evidence trace (--evidence)" }, { "title": "Key Advantages", "body": "Deterministic tool routing via references/tool-chains.json\nEvolution v2 parameter-template memory to reduce recurring parameter errors\nStrong fallback strategy across providers and markets\nUS/HK/CN market-aware symbol handling\nStructured outputs for both analyst reading and machine ingestion\nSafety-first handling of secrets and runtime state" }, { "title": "Core Workflow", "body": "Resolve user input to symbol + market (supports company-name aliases, e.g. Chinese name -> 600089.SH).\n\n\nSearch tools by capability (quote, fundamentals, indicators, sentiment, X sentiment).\n\n\nRoute by hardcoded tool chains first (market-aware), then fallback generic capability search.\n\nFor CN/HK sentiment, prioritize caidazi channels (report/news/wechat).\nFor CN/HK fundamentals, prioritize THS financial statements (income/balance sheet/cash flow), then fallback to company basics.\n\n\n\nBefore execution, try evolution parameter templates; if unavailable, use default param builder.\n\n\nRun quality checks:\n\nMissing key fields\nData recency\nCross-source inconsistency\n\n\n\nProduce analyst report with:\n\ncomposite score\nsafety margin\nevent-driven vs pullback-risk timing classification\nstructured thesis (driver/risk/scenario/KPI)\nevent radar (timeline/theme) and candidate ideas\nstyle-specific execution playbooks\nmarket scenario suggestions\noptional parsed/raw evidence sections when --evidence is enabled\n\n\n\nPreference routing (public audience default):\n\nIf no preference flags are provided, script returns a questionnaire first.\nYou can skip this with --skip-questionnaire." }, { "title": "Command Surface", "body": "Primary script: scripts/stock_copilot_pro.mjs\n\nAnalyze one symbol:\n\nnode scripts/stock_copilot_pro.mjs analyze --symbol AAPL --market US --mode comprehensive\nnode scripts/stock_copilot_pro.mjs analyze --symbol \"\" --mode comprehensive\n\n\nCompare multiple symbols:\n\nnode scripts/stock_copilot_pro.mjs compare --symbols AAPL,MSFT --market US --mode comprehensive\n\n\nManage watchlist:\n\nnode scripts/stock_copilot_pro.mjs watch --action list\nnode scripts/stock_copilot_pro.mjs watch --action add --bucket holdings --symbol AAPL --market US\nnode scripts/stock_copilot_pro.mjs watch --action remove --bucket watchlist --symbol 0700.HK --market HK\n\n\nGenerate brief:\n\nnode scripts/stock_copilot_pro.mjs brief --type morning --format chat\nnode scripts/stock_copilot_pro.mjs brief --type evening --format markdown\n\n\nRun industry radar:\n\nnode scripts/stock_copilot_pro.mjs radar --market GLOBAL --limit 10" }, { "title": "OpenClaw scheduled tasks (morning/evening brief and radar)", "body": "To set up morning brief, evening brief, or daily radar in OpenClaw, use only the official OpenClaw cron format and create jobs via the CLI or Gateway cron tool. Do not edit ~/.openclaw/cron/jobs.json directly.\n\nReference: the jobs array in config/openclaw-cron.example.json; each item is one cron.add payload (fields: name, schedule: { kind, expr, tz }, sessionTarget: \"isolated\", payload: { kind: \"agentTurn\", message: \"...\" }, delivery).\nExample (morning brief): openclaw cron add --name \"Stock morning brief\" --cron \"0 9 * * 1-5\" --tz Asia/Shanghai --session isolated --message \"Use stock-copilot-pro to generate morning brief: run brief --type morning --max-items 8 --format chat\" --announce. To deliver to Feishu, add --channel feishu --to .\nIncorrect: using the legacy example format (e.g. schedule as string, command, delivery.channels array) or pasting the example into jobs.json will cause Gateway parse failure or crash." }, { "title": "CN/HK Coverage Details", "body": "Company-name input is supported and auto-resolved to market + symbol for common names.\nSentiment path prioritizes caidazi (research reports, news, wechat/public-account channels).\nFundamentals path prioritizes THS financial statements endpoints, and always calls THS company basics for profile backfill:\n\nrevenue\nnetProfit\ntotalAssets\ntotalLiabilities\noperatingCashflow\nindustry\nmainBusiness\ntags" }, { "title": "Output Modes", "body": "markdown (default): human-readable report\njson: machine-readable merged payload\nchat: segmented chat-friendly output for messaging apps\nsummary-first: compact output style via --summary-only" }, { "title": "Preference & Event Options", "body": "Preference flags:\n\n--horizon short|mid|long\n--risk low|mid|high\n--style value|balanced|growth|trading\n--actionable (include execution-oriented rules)\n--skip-questionnaire (force analysis without preference Q&A)\n\n\n\nEvent radar flags:\n\n--event-window-days 7|14|30\n--event-universe global|same_market\n--event-view timeline|theme" }, { "title": "Dynamic Evolution", "body": "Runtime learning state is stored in .evolution/tool-evolution.json.\nOne successful execution can update tool parameter templates.\nEvolution stores param_templates and sample_successful_params for reuse.\nEvolution does not decide tool priority; tool priority is controlled by tool-chains.json.\nUse --no-evolution to disable loading/saving runtime learning state." }, { "title": "Safety and Disclosure", "body": "Uses only QVERIS_API_KEY.\nCalls only QVeris APIs over HTTPS.\nfull_content_file_url fetching is kept enabled for data completeness, but only HTTPS URLs under qveris.ai are allowed.\nDoes not store API keys in logs, reports, or evolution state.\nRuntime persistence is limited to .evolution/tool-evolution.json (metadata + parameter templates only).\nWatchlist state is stored at config/watchlist.json (bootstrap from config/watchlist.example.json).\nOpenClaw scheduled tasks: see config/openclaw-cron.example.json. Create jobs with the official format (schedule.kind, payload.kind, sessionTarget, etc.) via openclaw cron add or the Gateway cron tool; do not paste or merge the example JSON into ~/.openclaw/cron/jobs.json (schema mismatch can cause Gateway parse failure or crash). Set delivery.channel and delivery.to for your channel (e.g. feishu).\nExternal source URLs remain hidden by default; only shown when --include-source-urls is explicitly enabled.\nNo package installation or arbitrary command execution is performed by this skill script.\nResearch-only output. Not investment advice." }, { "title": "Single Stock Analysis Guide", "body": "When analyzing analyze output, act as a senior buy-side analyst and deliver a professional but not overlong report." }, { "title": "Required Output (7 Sections)", "body": "Data Snapshot (required)\n\nStart with a compact metrics table built from data fields.\nInclude at least: price/change, marketCap, PE/PB, profitMargin, revenue, netProfit, RSI, 52W range.\nExample format:\n\n| Metric | Value |\n|--------|-------|\n| Price | $264.58 (+1.54%) |\n| Market Cap | $3.89T |\n| P/E | 33.45 |\n| P/B | 57.97 |\n| Profit Margin | 27% |\n| Revenue (TTM) | $394B |\n| Net Profit | $99.8B |\n| RSI | 58.3 |\n| 52W Range | $164 - $270 |\n\nKey view (30 seconds)\n\nOne-line conclusion: buy/hold/avoid + key reason.\n\n\n\nInvestment thesis\n\nBull case: 2 points (growth driver, moat/catalyst)\nBear case: 2 points (valuation/risk/timing)\nFinal balance: what dominates now.\n\n\n\nValuation and key levels\n\nPE/PB vs peer or history percentile (cheap/fair/expensive)\nKey levels: current price, support, resistance, stop-loss reference\n\n\n\nRecommendation (required)\n\nDifferent advice by position status:\n\nNo position\nLight position\nHeavy position / underwater\n\n\nEach suggestion must include concrete trigger/price/condition.\n\n\n\nRisk monitor\n\nTop 2-3 risks + invalidation condition (what proves thesis wrong).\n\n\n\nData Sources (required)\n\nEnd with a source disclosure line showing QVeris attribution and data channels actually used.\nInclude generation timestamp and list of source/tool names from payload metadata such as dataSources, meta.sourceStats, or data.*.selectedTool.\nExample format:\n\n> Data powered by [QVeris](https://qveris.ai) | Sources: Alpha Vantage (quote/fundamentals), Finnhub (news sentiment), X/Twitter (social sentiment) | Generated at 2026-02-22T13:00:00Z" }, { "title": "Quality Bar", "body": "Avoid data dumping; each key number must include interpretation.\nEvery numeric claim must be grounded in actual payload values; do not fabricate numbers.\nKeep concise but complete (target 250-500 characters for narrative).\nMust include actionable guidance and time window.\nTicker and technical terms in English." }, { "title": "Daily Brief Analysis Guide", "body": "When analyzing brief output, generate an actionable morning/evening briefing for OpenClaw conversation." }, { "title": "Morning Brief", "body": "Market overview: risk-on/off + key overnight move + today's tone, plus an index snapshot table from marketOverview.indices (index name, price, % change, timestamp)\nHoldings check: holdings that need action first, with per-holding price/% change/grade when available\nRadar relevance: which radar themes impact holdings\nToday's plan (required): specific watch levels / event / execution plan\nData Sources (required): one-line QVeris attribution and channels used in this brief" }, { "title": "Evening Brief", "body": "Session recap: index + sector + portfolio one-line recap, with key index close/% change\nHoldings change: biggest winners/losers and why, with quantized move (%) where available\nThesis check: whether thesis changed\nTomorrow's plan (required): explicit conditions and actions\nData Sources (required): one-line QVeris attribution and channels used in this brief" }, { "title": "Quality Bar", "body": "Prioritize user holdings, not generic market commentary.\nQuantify changes when possible (%, levels, counts).\nKeep concise and decision-oriented.\nInclude a short source disclosure line at the end to improve traceability and credibility." }, { "title": "Hot Topic Analysis Guide", "body": "When analyzing radar output, cluster signals into investable themes and provide concise actionable conclusions." }, { "title": "Required Output (per theme)", "body": "Theme: clear, investable label\nDriver: what changed and why now\nImpact: beneficiaries/losers + magnitude + duration\nRecommendation (required): concrete trigger or level\nRisk note: key invalidation or monitoring signal\nSource tag (required): include source label for each theme (for example: caidazi_report, alpha_news_sentiment, x_hot_topics)" }, { "title": "Execution Rules", "body": "Cluster into 3-5 themes max.\nCross-verify sources; lower confidence for social-only signals.\nDistinguish short-term trade vs mid-term allocation.\nKeep each theme concise (<200 characters preferred).\nEnd with a QVeris source disclosure line listing channels that contributed to this radar run." } ], "body": "Stock Copilot Pro\n\nGlobal Multi-Source Stock Analysis with QVeris.\n\nSEO Keywords\n\nOpenClaw, stock analysis skill, AI stock copilot, China A-shares, Hong Kong stocks, US stocks, quantitative analysis, fundamental analysis, technical analysis, sentiment analysis, industry radar, morning evening brief, watchlist, portfolio monitoring, QVeris API, THS iFinD, Caidazi, Alpha Vantage, Finnhub, X sentiment, investment research assistant\n\nSupported Capabilities\nSingle-stock analysis (analyze): valuation, quality, technicals, sentiment, risk/timing\nMulti-stock comparison (compare): cross-symbol ranking and portfolio-level view\nWatchlist/holdings management (watch): list/add/remove for holdings and watchlist\nMorning/Evening brief (brief): holdings-focused daily actionable briefing\nIndustry hot-topic radar (radar): multi-source topic aggregation for investable themes\nMulti-format output: markdown, json, chat\nOpenClaw LLM-ready flow: structured data in code + guided narrative in SKILL.md\nData Sources\nCore MCP/API gateway: qveris.ai (QVERIS_API_KEY)\nCN/HK quote and fundamentals:\nths_ifind.real_time_quotation\nths_ifind.financial_statements\nths_ifind.company_basics\nths_ifind.history_quotation\nCN/HK news and research:\ncaidazi.news.query\ncaidazi.report.query\ncaidazi.search.hybrid.list\ncaidazi.search.hybrid_v2.query\nGlobal news sentiment:\nalpha_news_sentiment\nfinnhub.news\nX/Twitter sentiment and hot topics:\nqveris_social.x_domain_hot_topics\nqveris_social.x_domain_hot_events\nqveris_social.x_domain_new_posts\nx_developer.2.tweets.search.recent\nWhat This Skill Does\n\nStock Copilot Pro performs end-to-end stock analysis with five data domains:\n\nMarket quote / trading context\nFundamental metrics\nTechnical signals (RSI/MACD/MA)\nNews and sentiment\nX sentiment\n\nIt then generates a data-rich analyst report with:\n\nvalue-investing scorecard\nevent-timing anti-chasing classification\nsafety-margin estimate\nthesis-driven investment framework (drivers/risks/scenarios/KPIs)\nmulti-style playbooks (value/balanced/growth/trading)\nevent radar with candidate ideas from news and X\nscenario-based recommendations\nstandard readable output (default) + optional full evidence trace (--evidence)\nKey Advantages\nDeterministic tool routing via references/tool-chains.json\nEvolution v2 parameter-template memory to reduce recurring parameter errors\nStrong fallback strategy across providers and markets\nUS/HK/CN market-aware symbol handling\nStructured outputs for both analyst reading and machine ingestion\nSafety-first handling of secrets and runtime state\nCore Workflow\n\nResolve user input to symbol + market (supports company-name aliases, e.g. Chinese name -> 600089.SH).\n\nSearch tools by capability (quote, fundamentals, indicators, sentiment, X sentiment).\n\nRoute by hardcoded tool chains first (market-aware), then fallback generic capability search.\n\nFor CN/HK sentiment, prioritize caidazi channels (report/news/wechat).\nFor CN/HK fundamentals, prioritize THS financial statements (income/balance sheet/cash flow), then fallback to company basics.\n\nBefore execution, try evolution parameter templates; if unavailable, use default param builder.\n\nRun quality checks:\n\nMissing key fields\nData recency\nCross-source inconsistency\n\nProduce analyst report with:\n\ncomposite score\nsafety margin\nevent-driven vs pullback-risk timing classification\nstructured thesis (driver/risk/scenario/KPI)\nevent radar (timeline/theme) and candidate ideas\nstyle-specific execution playbooks\nmarket scenario suggestions\noptional parsed/raw evidence sections when --evidence is enabled\n\nPreference routing (public audience default):\n\nIf no preference flags are provided, script returns a questionnaire first.\nYou can skip this with --skip-questionnaire.\nCommand Surface\n\nPrimary script: scripts/stock_copilot_pro.mjs\n\nAnalyze one symbol:\nnode scripts/stock_copilot_pro.mjs analyze --symbol AAPL --market US --mode comprehensive\nnode scripts/stock_copilot_pro.mjs analyze --symbol \"\" --mode comprehensive\nCompare multiple symbols:\nnode scripts/stock_copilot_pro.mjs compare --symbols AAPL,MSFT --market US --mode comprehensive\nManage watchlist:\nnode scripts/stock_copilot_pro.mjs watch --action list\nnode scripts/stock_copilot_pro.mjs watch --action add --bucket holdings --symbol AAPL --market US\nnode scripts/stock_copilot_pro.mjs watch --action remove --bucket watchlist --symbol 0700.HK --market HK\nGenerate brief:\nnode scripts/stock_copilot_pro.mjs brief --type morning --format chat\nnode scripts/stock_copilot_pro.mjs brief --type evening --format markdown\nRun industry radar:\nnode scripts/stock_copilot_pro.mjs radar --market GLOBAL --limit 10\nOpenClaw scheduled tasks (morning/evening brief and radar)\n\nTo set up morning brief, evening brief, or daily radar in OpenClaw, use only the official OpenClaw cron format and create jobs via the CLI or Gateway cron tool. Do not edit ~/.openclaw/cron/jobs.json directly.\n\nReference: the jobs array in config/openclaw-cron.example.json; each item is one cron.add payload (fields: name, schedule: { kind, expr, tz }, sessionTarget: \"isolated\", payload: { kind: \"agentTurn\", message: \"...\" }, delivery).\nExample (morning brief): openclaw cron add --name \"Stock morning brief\" --cron \"0 9 * * 1-5\" --tz Asia/Shanghai --session isolated --message \"Use stock-copilot-pro to generate morning brief: run brief --type morning --max-items 8 --format chat\" --announce. To deliver to Feishu, add --channel feishu --to .\nIncorrect: using the legacy example format (e.g. schedule as string, command, delivery.channels array) or pasting the example into jobs.json will cause Gateway parse failure or crash.\nCN/HK Coverage Details\nCompany-name input is supported and auto-resolved to market + symbol for common names.\nSentiment path prioritizes caidazi (research reports, news, wechat/public-account channels).\nFundamentals path prioritizes THS financial statements endpoints, and always calls THS company basics for profile backfill:\nrevenue\nnetProfit\ntotalAssets\ntotalLiabilities\noperatingCashflow\nindustry\nmainBusiness\ntags\nOutput Modes\nmarkdown (default): human-readable report\njson: machine-readable merged payload\nchat: segmented chat-friendly output for messaging apps\nsummary-first: compact output style via --summary-only\nPreference & Event Options\n\nPreference flags:\n\n--horizon short|mid|long\n--risk low|mid|high\n--style value|balanced|growth|trading\n--actionable (include execution-oriented rules)\n--skip-questionnaire (force analysis without preference Q&A)\n\nEvent radar flags:\n\n--event-window-days 7|14|30\n--event-universe global|same_market\n--event-view timeline|theme\nDynamic Evolution\nRuntime learning state is stored in .evolution/tool-evolution.json.\nOne successful execution can update tool parameter templates.\nEvolution stores param_templates and sample_successful_params for reuse.\nEvolution does not decide tool priority; tool priority is controlled by tool-chains.json.\nUse --no-evolution to disable loading/saving runtime learning state.\nSafety and Disclosure\nUses only QVERIS_API_KEY.\nCalls only QVeris APIs over HTTPS.\nfull_content_file_url fetching is kept enabled for data completeness, but only HTTPS URLs under qveris.ai are allowed.\nDoes not store API keys in logs, reports, or evolution state.\nRuntime persistence is limited to .evolution/tool-evolution.json (metadata + parameter templates only).\nWatchlist state is stored at config/watchlist.json (bootstrap from config/watchlist.example.json).\nOpenClaw scheduled tasks: see config/openclaw-cron.example.json. Create jobs with the official format (schedule.kind, payload.kind, sessionTarget, etc.) via openclaw cron add or the Gateway cron tool; do not paste or merge the example JSON into ~/.openclaw/cron/jobs.json (schema mismatch can cause Gateway parse failure or crash). Set delivery.channel and delivery.to for your channel (e.g. feishu).\nExternal source URLs remain hidden by default; only shown when --include-source-urls is explicitly enabled.\nNo package installation or arbitrary command execution is performed by this skill script.\nResearch-only output. Not investment advice.\nSingle Stock Analysis Guide\n\nWhen analyzing analyze output, act as a senior buy-side analyst and deliver a professional but not overlong report.\n\nRequired Output (7 Sections)\nData Snapshot (required)\nStart with a compact metrics table built from data fields.\nInclude at least: price/change, marketCap, PE/PB, profitMargin, revenue, netProfit, RSI, 52W range.\nExample format:\n| Metric | Value |\n|--------|-------|\n| Price | $264.58 (+1.54%) |\n| Market Cap | $3.89T |\n| P/E | 33.45 |\n| P/B | 57.97 |\n| Profit Margin | 27% |\n| Revenue (TTM) | $394B |\n| Net Profit | $99.8B |\n| RSI | 58.3 |\n| 52W Range | $164 - $270 |\n\n\nKey view (30 seconds)\n\nOne-line conclusion: buy/hold/avoid + key reason.\n\nInvestment thesis\n\nBull case: 2 points (growth driver, moat/catalyst)\nBear case: 2 points (valuation/risk/timing)\nFinal balance: what dominates now.\n\nValuation and key levels\n\nPE/PB vs peer or history percentile (cheap/fair/expensive)\nKey levels: current price, support, resistance, stop-loss reference\n\nRecommendation (required)\n\nDifferent advice by position status:\nNo position\nLight position\nHeavy position / underwater\nEach suggestion must include concrete trigger/price/condition.\n\nRisk monitor\n\nTop 2-3 risks + invalidation condition (what proves thesis wrong).\n\nData Sources (required)\n\nEnd with a source disclosure line showing QVeris attribution and data channels actually used.\nInclude generation timestamp and list of source/tool names from payload metadata such as dataSources, meta.sourceStats, or data.*.selectedTool.\nExample format:\n> Data powered by [QVeris](https://qveris.ai) | Sources: Alpha Vantage (quote/fundamentals), Finnhub (news sentiment), X/Twitter (social sentiment) | Generated at 2026-02-22T13:00:00Z\n\nQuality Bar\nAvoid data dumping; each key number must include interpretation.\nEvery numeric claim must be grounded in actual payload values; do not fabricate numbers.\nKeep concise but complete (target 250-500 characters for narrative).\nMust include actionable guidance and time window.\nTicker and technical terms in English.\nDaily Brief Analysis Guide\n\nWhen analyzing brief output, generate an actionable morning/evening briefing for OpenClaw conversation.\n\nMorning Brief\nMarket overview: risk-on/off + key overnight move + today's tone, plus an index snapshot table from marketOverview.indices (index name, price, % change, timestamp)\nHoldings check: holdings that need action first, with per-holding price/% change/grade when available\nRadar relevance: which radar themes impact holdings\nToday's plan (required): specific watch levels / event / execution plan\nData Sources (required): one-line QVeris attribution and channels used in this brief\nEvening Brief\nSession recap: index + sector + portfolio one-line recap, with key index close/% change\nHoldings change: biggest winners/losers and why, with quantized move (%) where available\nThesis check: whether thesis changed\nTomorrow's plan (required): explicit conditions and actions\nData Sources (required): one-line QVeris attribution and channels used in this brief\nQuality Bar\nPrioritize user holdings, not generic market commentary.\nQuantify changes when possible (%, levels, counts).\nKeep concise and decision-oriented.\nInclude a short source disclosure line at the end to improve traceability and credibility.\nHot Topic Analysis Guide\n\nWhen analyzing radar output, cluster signals into investable themes and provide concise actionable conclusions.\n\nRequired Output (per theme)\nTheme: clear, investable label\nDriver: what changed and why now\nImpact: beneficiaries/losers + magnitude + duration\nRecommendation (required): concrete trigger or level\nRisk note: key invalidation or monitoring signal\nSource tag (required): include source label for each theme (for example: caidazi_report, alpha_news_sentiment, x_hot_topics)\nExecution Rules\nCluster into 3-5 themes max.\nCross-verify sources; lower confidence for social-only signals.\nDistinguish short-term trade vs mid-term allocation.\nKeep each theme concise (<200 characters preferred).\nEnd with a QVeris source disclosure line listing channels that contributed to this radar run." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro", "publisherUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro", "owner": "buxibuxi", "version": "0.3.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/stock-copilot-pro", "downloadUrl": "https://openagent3.xyz/downloads/stock-copilot-pro", "agentUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent", "manifestUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.json", "briefUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.md" } }