{ "schemaVersion": "1.0", "item": { "slug": "fin-cog", "name": "fin-cog", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/nitishgargiitd/fin-cog", "canonicalUrl": "https://clawhub.ai/nitishgargiitd/fin-cog", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/fin-cog", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=fin-cog", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.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/fin-cog" }, "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/fin-cog", "agentPageUrl": "https://openagent3.xyz/skills/fin-cog/agent", "manifestUrl": "https://openagent3.xyz/skills/fin-cog/agent.json", "briefUrl": "https://openagent3.xyz/skills/fin-cog/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. 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. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Fin Cog - Wall Street-Grade Analysis, Accessible Globally", "body": "Wall Street-grade analysis, accessible globally. Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.\n\nThe best financial analysis has always lived behind Bloomberg terminals, institutional research desks, and $500/hour consultants. CellCog brings that same depth — stock analysis, valuation models, portfolio optimization, earnings breakdowns — to anyone with a prompt. From raw tickers to boardroom-ready deliverables in one request." }, { "title": "Prerequisites", "body": "This skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n prompt=\"[your financial analysis request]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"financial-analysis\",\n chat_mode=\"agent team\" # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll" }, { "title": "Stock & Equity Analysis", "body": "Deep dives into public companies:\n\nCompany Analysis: \"Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance\"\nEarnings Breakdowns: \"Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary\"\nValuation Models: \"Build a DCF model for Microsoft with bear, base, and bull scenarios\"\nPeer Comparisons: \"Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics\"\nTechnical Analysis: \"Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends\"\n\nExample prompt:\n\n\"Create a comprehensive stock analysis for Palantir (PLTR):\nCover:\n\nBusiness model and revenue breakdown (government vs commercial)\nLast 4 quarters earnings performance\nKey financial metrics (P/E, P/S, FCF margin, revenue growth)\nCompetitive positioning vs Snowflake, Databricks, C3.ai\nBull and bear thesis\nValuation assessment\n\nDeliver as an interactive HTML report with charts.\"" }, { "title": "Portfolio Analysis & Optimization", "body": "Manage and optimize investments:\n\nPortfolio Review: \"Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations\"\nAsset Allocation: \"Design an optimal portfolio for a 35-year-old with $200K, moderate risk tolerance\"\nRisk Assessment: \"Calculate the Sharpe ratio, beta, and maximum drawdown for this portfolio over the last 3 years\"\nRebalancing: \"My portfolio drifted from target — recommend rebalancing trades to minimize tax impact\"" }, { "title": "Financial Modeling", "body": "Build professional financial models:\n\nDCF Models: \"Build a discounted cash flow model for Shopify with sensitivity analysis on growth and discount rate\"\nStartup Financial Models: \"Create a 3-year financial projection for a B2B SaaS with $50K MRR growing 15% monthly\"\nLBO Models: \"Model a leveraged buyout scenario for a $100M revenue company at 8x EBITDA\"\nScenario Analysis: \"Create a 3-scenario model (recession, baseline, boom) for a retail REIT portfolio\"" }, { "title": "Financial Documents & Reports", "body": "Professional financial deliverables:\n\nInvestment Memos: \"Write an investment memo recommending a position in CrowdStrike\"\nQuarterly Reports: \"Create a quarterly financial report for my small business\"\nFinancial Statements: \"Generate pro forma financial statements for a startup fundraise\"\nTax Planning: \"Analyze tax optimization strategies for a freelancer earning $150K with $30K in capital gains\"" }, { "title": "Personal Finance", "body": "Everyday financial planning:\n\nRetirement Planning: \"How much do I need to save monthly to retire at 55 with $2M? I'm 30, saving $2K/month currently\"\nMortgage Analysis: \"Compare a 15-year vs 30-year mortgage on a $500K home with 20% down at current rates\"\nDebt Payoff: \"Create a debt payoff plan: $15K student loans at 5%, $8K credit card at 22%, $25K car loan at 6%\"\nBudget Optimization: \"Analyze my spending breakdown and recommend where to cut to save $1,000/month more\"" }, { "title": "Output Formats", "body": "CellCog delivers financial analysis in multiple formats:\n\nFormatBest ForInteractive HTML DashboardExplorable charts, drill-down analysis, live data presentationPDF ReportShareable, printable investment memos and reportsXLSX SpreadsheetEditable financial models, projections, calculationsMarkdownQuick analysis for integration into your docs\n\nSpecify your preferred format in the prompt:\n\n\"Deliver as an interactive HTML report with charts\"\n\"Create a PDF investment memo\"\n\"Build this as an editable Excel model\"" }, { "title": "Chat Mode for Finance", "body": "ScenarioRecommended ModeQuick lookups, single stock metrics, basic calculations\"agent\"Deep analysis, valuation models, multi-company comparisons, investment research\"agent team\"\n\nUse \"agent team\" for most financial analysis. Financial work demands deep reasoning, data cross-referencing, and multi-source synthesis. Agent team mode delivers the depth that serious financial analysis requires.\n\nUse \"agent\" for quick financial lookups — current stock price, simple calculations, or basic metric checks." }, { "title": "Example Prompts", "body": "Comprehensive stock analysis:\n\n\"Create a full investment analysis for AMD:\n\nBusiness Overview — segments, revenue mix, competitive positioning\nFinancial Performance — last 8 quarters revenue, margins, EPS trends\nValuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM)\nGrowth Catalysts — AI/datacenter, gaming, embedded\nRisk Factors — competition, cyclicality, customer concentration\nBull/Bear/Base price targets\n\nInteractive HTML report with comparison charts.\"\n\nFinancial model:\n\n\"Build a startup financial model:\nBusiness: B2B SaaS, project management tool\nCurrent: $30K MRR, 200 customers, $150 ARPU\nGrowth: 12% MoM for 12 months, then 8% for next 12\nTeam: 8 people now, hiring 4 in next year\nExpenses: $180K/month burn rate\nCreate a 24-month projection showing:\n\nRevenue forecast with cohort analysis\nExpense breakdown and hiring plan\nCash flow and runway\nUnit economics (CAC, LTV, payback period)\nBreak-even analysis\n\nDeliver as Excel spreadsheet with charts.\"\n\nPersonal finance:\n\n\"I'm 28, earning $120K/year in San Francisco. I want to:\n\nMax out 401K contributions\nBuild a 6-month emergency fund ($30K)\nSave for a house down payment ($100K in 5 years)\nStart investing in index funds\n\nCreate a detailed monthly financial plan that shows how to prioritize these goals with my take-home pay after taxes. Include a timeline and visual roadmap.\"\n\nEarnings analysis:\n\n\"Break down Tesla's most recent quarterly earnings:\n\nRevenue vs estimates (beat/miss by how much?)\nAutomotive margins — trend over last 4 quarters\nEnergy and services segment performance\nKey quotes from management on guidance\nWhat analysts are saying post-earnings\nBull and bear reactions\n\nDeliver as a concise PDF report with charts.\"" }, { "title": "Tips for Better Financial Analysis", "body": "Be specific about metrics: \"Revenue growth\" is vague. \"YoY revenue growth for the last 8 quarters with segment breakdown\" is precise.\n\n\nSpecify time horizons: \"Analyze AAPL\" is open-ended. \"Analyze AAPL's performance and outlook for the next 12 months\" is actionable.\n\n\nState your purpose: \"For an investment decision\", \"For a board presentation\", \"For personal planning\" — context shapes the analysis.\n\n\nInclude constraints: Budget, risk tolerance, time horizon, tax situation — these matter for financial recommendations.\n\n\nRequest scenarios: \"Include bear, base, and bull cases\" gives you a range, not just a point estimate.\n\n\nAsk for the deliverable you need: \"Interactive dashboard\", \"PDF memo\", \"Excel model\" — specify the format for the best result." } ], "body": "Fin Cog - Wall Street-Grade Analysis, Accessible Globally\n\nWall Street-grade analysis, accessible globally. Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.\n\nThe best financial analysis has always lived behind Bloomberg terminals, institutional research desks, and $500/hour consultants. CellCog brings that same depth — stock analysis, valuation models, portfolio optimization, earnings breakdowns — to anyone with a prompt. From raw tickers to boardroom-ready deliverables in one request.\n\nPrerequisites\n\nThis skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n prompt=\"[your financial analysis request]\",\n notify_session_key=\"agent:main:main\",\n task_label=\"financial-analysis\",\n chat_mode=\"agent team\" # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll\n\nWhat Financial Work You Can Do\nStock & Equity Analysis\n\nDeep dives into public companies:\n\nCompany Analysis: \"Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance\"\nEarnings Breakdowns: \"Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary\"\nValuation Models: \"Build a DCF model for Microsoft with bear, base, and bull scenarios\"\nPeer Comparisons: \"Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics\"\nTechnical Analysis: \"Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends\"\n\nExample prompt:\n\n\"Create a comprehensive stock analysis for Palantir (PLTR):\n\nCover:\n\nBusiness model and revenue breakdown (government vs commercial)\nLast 4 quarters earnings performance\nKey financial metrics (P/E, P/S, FCF margin, revenue growth)\nCompetitive positioning vs Snowflake, Databricks, C3.ai\nBull and bear thesis\nValuation assessment\n\nDeliver as an interactive HTML report with charts.\"\n\nPortfolio Analysis & Optimization\n\nManage and optimize investments:\n\nPortfolio Review: \"Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations\"\nAsset Allocation: \"Design an optimal portfolio for a 35-year-old with $200K, moderate risk tolerance\"\nRisk Assessment: \"Calculate the Sharpe ratio, beta, and maximum drawdown for this portfolio over the last 3 years\"\nRebalancing: \"My portfolio drifted from target — recommend rebalancing trades to minimize tax impact\"\nFinancial Modeling\n\nBuild professional financial models:\n\nDCF Models: \"Build a discounted cash flow model for Shopify with sensitivity analysis on growth and discount rate\"\nStartup Financial Models: \"Create a 3-year financial projection for a B2B SaaS with $50K MRR growing 15% monthly\"\nLBO Models: \"Model a leveraged buyout scenario for a $100M revenue company at 8x EBITDA\"\nScenario Analysis: \"Create a 3-scenario model (recession, baseline, boom) for a retail REIT portfolio\"\nFinancial Documents & Reports\n\nProfessional financial deliverables:\n\nInvestment Memos: \"Write an investment memo recommending a position in CrowdStrike\"\nQuarterly Reports: \"Create a quarterly financial report for my small business\"\nFinancial Statements: \"Generate pro forma financial statements for a startup fundraise\"\nTax Planning: \"Analyze tax optimization strategies for a freelancer earning $150K with $30K in capital gains\"\nPersonal Finance\n\nEveryday financial planning:\n\nRetirement Planning: \"How much do I need to save monthly to retire at 55 with $2M? I'm 30, saving $2K/month currently\"\nMortgage Analysis: \"Compare a 15-year vs 30-year mortgage on a $500K home with 20% down at current rates\"\nDebt Payoff: \"Create a debt payoff plan: $15K student loans at 5%, $8K credit card at 22%, $25K car loan at 6%\"\nBudget Optimization: \"Analyze my spending breakdown and recommend where to cut to save $1,000/month more\"\nOutput Formats\n\nCellCog delivers financial analysis in multiple formats:\n\nFormat\tBest For\nInteractive HTML Dashboard\tExplorable charts, drill-down analysis, live data presentation\nPDF Report\tShareable, printable investment memos and reports\nXLSX Spreadsheet\tEditable financial models, projections, calculations\nMarkdown\tQuick analysis for integration into your docs\n\nSpecify your preferred format in the prompt:\n\n\"Deliver as an interactive HTML report with charts\"\n\"Create a PDF investment memo\"\n\"Build this as an editable Excel model\"\nChat Mode for Finance\nScenario\tRecommended Mode\nQuick lookups, single stock metrics, basic calculations\t\"agent\"\nDeep analysis, valuation models, multi-company comparisons, investment research\t\"agent team\"\n\nUse \"agent team\" for most financial analysis. Financial work demands deep reasoning, data cross-referencing, and multi-source synthesis. Agent team mode delivers the depth that serious financial analysis requires.\n\nUse \"agent\" for quick financial lookups — current stock price, simple calculations, or basic metric checks.\n\nExample Prompts\n\nComprehensive stock analysis:\n\n\"Create a full investment analysis for AMD:\n\nBusiness Overview — segments, revenue mix, competitive positioning\nFinancial Performance — last 8 quarters revenue, margins, EPS trends\nValuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM)\nGrowth Catalysts — AI/datacenter, gaming, embedded\nRisk Factors — competition, cyclicality, customer concentration\nBull/Bear/Base price targets\n\nInteractive HTML report with comparison charts.\"\n\nFinancial model:\n\n\"Build a startup financial model:\n\nBusiness: B2B SaaS, project management tool Current: $30K MRR, 200 customers, $150 ARPU Growth: 12% MoM for 12 months, then 8% for next 12 Team: 8 people now, hiring 4 in next year Expenses: $180K/month burn rate\n\nCreate a 24-month projection showing:\n\nRevenue forecast with cohort analysis\nExpense breakdown and hiring plan\nCash flow and runway\nUnit economics (CAC, LTV, payback period)\nBreak-even analysis\n\nDeliver as Excel spreadsheet with charts.\"\n\nPersonal finance:\n\n\"I'm 28, earning $120K/year in San Francisco. I want to:\n\nMax out 401K contributions\nBuild a 6-month emergency fund ($30K)\nSave for a house down payment ($100K in 5 years)\nStart investing in index funds\n\nCreate a detailed monthly financial plan that shows how to prioritize these goals with my take-home pay after taxes. Include a timeline and visual roadmap.\"\n\nEarnings analysis:\n\n\"Break down Tesla's most recent quarterly earnings:\n\nRevenue vs estimates (beat/miss by how much?)\nAutomotive margins — trend over last 4 quarters\nEnergy and services segment performance\nKey quotes from management on guidance\nWhat analysts are saying post-earnings\nBull and bear reactions\n\nDeliver as a concise PDF report with charts.\"\n\nTips for Better Financial Analysis\n\nBe specific about metrics: \"Revenue growth\" is vague. \"YoY revenue growth for the last 8 quarters with segment breakdown\" is precise.\n\nSpecify time horizons: \"Analyze AAPL\" is open-ended. \"Analyze AAPL's performance and outlook for the next 12 months\" is actionable.\n\nState your purpose: \"For an investment decision\", \"For a board presentation\", \"For personal planning\" — context shapes the analysis.\n\nInclude constraints: Budget, risk tolerance, time horizon, tax situation — these matter for financial recommendations.\n\nRequest scenarios: \"Include bear, base, and bull cases\" gives you a range, not just a point estimate.\n\nAsk for the deliverable you need: \"Interactive dashboard\", \"PDF memo\", \"Excel model\" — specify the format for the best result." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/nitishgargiitd/fin-cog", "publisherUrl": "https://clawhub.ai/nitishgargiitd/fin-cog", "owner": "nitishgargiitd", "version": "1.0.1", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/fin-cog", "downloadUrl": "https://openagent3.xyz/downloads/fin-cog", "agentUrl": "https://openagent3.xyz/skills/fin-cog/agent", "manifestUrl": "https://openagent3.xyz/skills/fin-cog/agent.json", "briefUrl": "https://openagent3.xyz/skills/fin-cog/agent.md" } }