{ "schemaVersion": "1.0", "item": { "slug": "shadow-ai-monitor", "name": "Shadow AI Monitor", "source": "tencent", "type": "skill", "category": "ę•°ę®åˆ†ęž", "sourceUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "canonicalUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/shadow-ai-monitor", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=shadow-ai-monitor", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "package.json", "scripts/generate_dashboard.js", "scripts/generate_demo_data.js" ], "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": "2026-04-23T16:43:11.935Z", "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/shadow-ai-monitor" }, "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/shadow-ai-monitor", "agentPageUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/agent", "manifestUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/agent.json", "briefUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/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": "Shadow AI Monitor", "body": "A professional web dashboard system for tracking employee AI tool usage, identifying data exposure risks, and measuring PIPEDA compliance." }, { "title": "What This Skill Does", "body": "Generates enterprise-grade HTML dashboards showing:\n\nšŸ“Š AI Tool Usage Analytics - Track which tools employees use (ChatGPT, Claude, Gemini, Copilot, Midjourney, Grok, Perplexity, Cursor, GitHub Copilot)\nāš ļø Risk Analysis - Classify data exposure as Low/Medium/High risk\nšŸ“‹ Compliance Scoring - PIPEDA compliance score (0-100) with detailed requirement breakdown\nšŸ‘„ Employee Insights - Anonymized usage patterns and heatmaps\nšŸ“ˆ Trend Tracking - Daily usage trends and event logs\nšŸ“„ Board-Ready Reports - PDF export with professional styling" }, { "title": "Perfect For", "body": "Security Teams monitoring shadow AI adoption\nCTOs assessing compliance gaps\nLegal/Compliance teams tracking data exposure\nSales Teams demoing AI governance products\nConsultants delivering AI risk assessments" }, { "title": "Quick Start", "body": "Generate a demo dashboard:\n\nnode scripts/generate_demo_data.js\nnode scripts/generate_dashboard.js shadow-ai-data.json\n\nOpen shadow-ai-dashboard.html in your browser." }, { "title": "šŸŽÆ Interactive Dashboard", "body": "Click to Explore:\n\nEmployee Bars ā†’ See top 3 riskiest events, tools used, data categories, dates\nCompliance Score ā†’ View 5 PIPEDA requirements, pass/fail status, specific fixes\nExport Button ā†’ Generate PDF with letterhead styling\n\nKey Metrics:\n\nPIPEDA compliance score (color-coded: green ā‰„85, yellow ā‰„70, red <70)\nRisk event breakdown (High/Medium/Low)\nTop 3 AI tools by usage\nTop 10 employees (anonymized)\n\nVisualizations:\n\nBar charts: Tool usage, employee activity\nDoughnut chart: Risk distribution\nLine chart: Daily trends\nHeat map: Employee usage intensity\nScrollable event log (last 20 events, high-risk highlighted)" }, { "title": "šŸ“‹ Personalized Recommendations", "body": "Auto-generated advice based on actual data patterns:\n\nReferences specific employees and percentages\nTool-specific recommendations (e.g., \"ChatGPT accounts for 48% of usage\")\nCompliance-specific action items\nExample: \"Employee 5 generated 8 high-risk events involving client matters ā€” review recommended\"" }, { "title": "šŸ”’ PIPEDA Compliance Analysis", "body": "Detailed breakdown of 5 core requirements:\n\nConsent for Collection\nLimiting Use, Disclosure & Retention\nSafeguards\nOpenness\nIndividual Access\n\nEach shows:\n\nPass/Fail status\nRequirement description\nSpecific action items using your actual data" }, { "title": "šŸ“Š Demo Data Generator", "body": "Creates realistic data for a 50-person Canadian organization:\n\nConfigurable:\n\nCompany name (default: Morrison & Associates)\nEmployee count\nAI tools tracked\nData categories (Client Legal, Financial, Health, Personal, etc.)\nRisk distribution\nTime period (last 7 days default)\n\nRealistic Patterns:\n\nMix of 9 different AI tools\nVaried risk levels (~25% high, ~35% medium, ~40% low)\nEmployee anonymization (Employee 1, Employee 2, etc.)\nConcerning patterns for demo impact" }, { "title": "Files", "body": "shadow-ai-monitor/\nā”œā”€ā”€ SKILL.md # This file\nā”œā”€ā”€ scripts/\nā”‚ ā”œā”€ā”€ generate_demo_data.js # Demo data generator\nā”‚ ā””ā”€ā”€ generate_dashboard.js # HTML dashboard generator" }, { "title": "Installation", "body": "Via ClawHub:\n\nclawhub install shadow-ai-monitor\n\nManual:\n\nmkdir -p ~/.openclaw/skills\ncd ~/.openclaw/skills\n# Download and extract skill files" }, { "title": "Basic Demo Dashboard", "body": "cd ~/.openclaw/workspace # or your working directory\nnode ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_demo_data.js\nnode ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_dashboard.js shadow-ai-data.json\nopen shadow-ai-dashboard.html # or double-click in Finder/Explorer\n\nThis generates:\n\nshadow-ai-data.json - Raw usage data\nshadow-ai-dashboard.html - Interactive dashboard" }, { "title": "Customizing Demo Data", "body": "Edit scripts/generate_demo_data.js to customize:\n\nCompany Name:\n\nconst output = {\n company: 'Your Company Name',\n // ...\n};\n\nEmployee Count:\n\nconst employees = Array.from({ length: 100 }, (_, i) => ({\n id: `Employee ${i + 1}`,\n // ...\n}));\n\nAI Tools Tracked:\n\nconst AI_TOOLS = [\n 'ChatGPT', 'Claude', 'Gemini', 'Your-Custom-Tool'\n];\n\nData Categories:\n\nconst DATA_CATEGORIES = [\n { name: 'Your Category', risk: 'High' },\n // ...\n];" }, { "title": "Automated Weekly Reports", "body": "Set up with OpenClaw cron:\n\n{\n \"name\": \"Shadow AI Weekly Report\",\n \"schedule\": {\"kind\": \"cron\", \"expr\": \"0 9 * * 1\", \"tz\": \"America/Toronto\"},\n \"payload\": {\n \"kind\": \"agentTurn\",\n \"message\": \"Generate Shadow AI dashboard: 1) Run demo data generator 2) Generate dashboard 3) Send WhatsApp notification with metrics\"\n },\n \"sessionTarget\": \"isolated\",\n \"delivery\": {\"mode\": \"announce\", \"channel\": \"whatsapp\"}\n}" }, { "title": "Data Structure", "body": "{\n \"generated\": \"2026-02-22T15:00:00Z\",\n \"company\": \"Morrison & Associates\",\n \"employeeCount\": 50,\n \"period\": \"Last 7 days\",\n \"events\": [\n {\n \"timestamp\": \"2026-02-22T10:30:00Z\",\n \"employee\": \"Employee 1\",\n \"employeeRole\": \"Senior Associate\",\n \"tool\": \"ChatGPT\",\n \"dataCategory\": \"Client Legal Matters\",\n \"risk\": \"High\"\n }\n ],\n \"metrics\": {\n \"totalEvents\": 268,\n \"topTools\": [[\"ChatGPT\", 89], [\"Claude\", 56]],\n \"riskCounts\": {\"Low\": 95, \"Medium\": 83, \"High\": 90},\n \"complianceScore\": 68,\n \"recommendations\": [\"...\"]\n }\n}" }, { "title": "Risk Scoring", "body": "High Risk:\n\nClient legal matters\nFinancial records\nHealth information\n\nMedium Risk:\n\nPersonal information\nInternal memos\nProprietary data\n\nLow Risk:\n\nGeneral questions\nCode templates\nPublic research" }, { "title": "Compliance Score Calculation", "body": "Base: 100 points\nDeduct: -2 points per % of high-risk events\nDeduct: -0.5 points per % of medium-risk events\nRange: 0-100\n\nExample:\n\n268 total events\n90 high-risk (34%) ā†’ -68 points\n83 medium-risk (31%) ā†’ -15.5 points\nScore: 16/100" }, { "title": "Dashboard Technology", "body": "Pure JavaScript - No npm install required\nChart.js via CDN - Loaded from jsDelivr\nDark Theme - Professional enterprise styling\nResponsive Design - Works on desktop and tablet\nPrint-Optimized - Clean PDF export with letterhead" }, { "title": "1. CTO Demo", "body": "Script:\n\n\"This is Morrison & Associates, a 50-person law firm. Over 7 days, we detected 268 AI tool events. Their PIPEDA compliance score is 16/100 because 34% of interactions involved client legal matters and health records shared with unapproved AI tools.\"\n\nClick compliance score ā†’ Show specific PIPEDA failures\nClick Employee 38 ā†’ Show their risky events\nClick Export ā†’ Board-ready PDF" }, { "title": "2. Security Assessment", "body": "Generate dashboard with your organization's data:\n\nMonitor Slack/Teams/Email for AI tool mentions\nLog to JSON format matching data structure\nRun dashboard generator\nPresent findings to security team" }, { "title": "3. Sales Presentation", "body": "Demo realistic data showing:\n\nConcerning compliance gaps\nSpecific risk patterns\nClear ROI through risk reduction\nProfessional, board-ready output" }, { "title": "4. Compliance Audit", "body": "Track progress over time:\n\nGenerate weekly snapshots\nCompare compliance scores\nIdentify trends (improving/worsening)\nDocument remediation efforts" }, { "title": "Security & Privacy", "body": "āœ… No External API Calls - All processing local\nāœ… No Data Collection - Demo data never leaves your machine\nāœ… No Credentials Required - Pure JavaScript execution\nāœ… Anonymized Data - Employee IDs, no PII in demo\nāœ… Open Source - Review all code before running" }, { "title": "Requirements", "body": "Node.js (any recent version)\nWeb Browser (Chrome, Firefox, Safari, Edge)\nNo npm packages - Uses only Node.js built-ins" }, { "title": "Roadmap", "body": "Future enhancements:\n\nReal-time monitoring integration\n Multi-company comparison\n Historical trend analysis\n Custom compliance frameworks (GDPR, HIPAA, SOC 2)\n Email delivery of reports\n Slack/Teams integration\n Live data ingestion from DLP tools" }, { "title": "Support & Contribution", "body": "Issues: Report bugs or request features on ClawHub\nQuestions: OpenClaw Discord community\nContributions: Submit improved visualizations, compliance frameworks, or data sources" }, { "title": "License", "body": "MIT - Free for personal and commercial use" }, { "title": "Credits", "body": "Built with OpenClaw by the automation engineering community.\n\nVersion: 1.0.0\nAuthor: Automation Engineers\nCategory: Security, Compliance, Analytics\nTags: AI monitoring, PIPEDA, compliance, security, dashboard" } ], "body": "Shadow AI Monitor\n\nA professional web dashboard system for tracking employee AI tool usage, identifying data exposure risks, and measuring PIPEDA compliance.\n\nWhat This Skill Does\n\nGenerates enterprise-grade HTML dashboards showing:\n\nšŸ“Š AI Tool Usage Analytics - Track which tools employees use (ChatGPT, Claude, Gemini, Copilot, Midjourney, Grok, Perplexity, Cursor, GitHub Copilot)\nāš ļø Risk Analysis - Classify data exposure as Low/Medium/High risk\nšŸ“‹ Compliance Scoring - PIPEDA compliance score (0-100) with detailed requirement breakdown\nšŸ‘„ Employee Insights - Anonymized usage patterns and heatmaps\nšŸ“ˆ Trend Tracking - Daily usage trends and event logs\nšŸ“„ Board-Ready Reports - PDF export with professional styling\nPerfect For\nSecurity Teams monitoring shadow AI adoption\nCTOs assessing compliance gaps\nLegal/Compliance teams tracking data exposure\nSales Teams demoing AI governance products\nConsultants delivering AI risk assessments\nQuick Start\n\nGenerate a demo dashboard:\n\nnode scripts/generate_demo_data.js\nnode scripts/generate_dashboard.js shadow-ai-data.json\n\n\nOpen shadow-ai-dashboard.html in your browser.\n\nFeatures\nšŸŽÆ Interactive Dashboard\n\nClick to Explore:\n\nEmployee Bars ā†’ See top 3 riskiest events, tools used, data categories, dates\nCompliance Score ā†’ View 5 PIPEDA requirements, pass/fail status, specific fixes\nExport Button ā†’ Generate PDF with letterhead styling\n\nKey Metrics:\n\nPIPEDA compliance score (color-coded: green ā‰„85, yellow ā‰„70, red <70)\nRisk event breakdown (High/Medium/Low)\nTop 3 AI tools by usage\nTop 10 employees (anonymized)\n\nVisualizations:\n\nBar charts: Tool usage, employee activity\nDoughnut chart: Risk distribution\nLine chart: Daily trends\nHeat map: Employee usage intensity\nScrollable event log (last 20 events, high-risk highlighted)\nšŸ“‹ Personalized Recommendations\n\nAuto-generated advice based on actual data patterns:\n\nReferences specific employees and percentages\nTool-specific recommendations (e.g., \"ChatGPT accounts for 48% of usage\")\nCompliance-specific action items\nExample: \"Employee 5 generated 8 high-risk events involving client matters ā€” review recommended\"\nšŸ”’ PIPEDA Compliance Analysis\n\nDetailed breakdown of 5 core requirements:\n\nConsent for Collection\nLimiting Use, Disclosure & Retention\nSafeguards\nOpenness\nIndividual Access\n\nEach shows:\n\nPass/Fail status\nRequirement description\nSpecific action items using your actual data\nšŸ“Š Demo Data Generator\n\nCreates realistic data for a 50-person Canadian organization:\n\nConfigurable:\n\nCompany name (default: Morrison & Associates)\nEmployee count\nAI tools tracked\nData categories (Client Legal, Financial, Health, Personal, etc.)\nRisk distribution\nTime period (last 7 days default)\n\nRealistic Patterns:\n\nMix of 9 different AI tools\nVaried risk levels (~25% high, ~35% medium, ~40% low)\nEmployee anonymization (Employee 1, Employee 2, etc.)\nConcerning patterns for demo impact\nFiles\nshadow-ai-monitor/\nā”œā”€ā”€ SKILL.md # This file\nā”œā”€ā”€ scripts/\nā”‚ ā”œā”€ā”€ generate_demo_data.js # Demo data generator\nā”‚ ā””ā”€ā”€ generate_dashboard.js # HTML dashboard generator\n\nInstallation\n\nVia ClawHub:\n\nclawhub install shadow-ai-monitor\n\n\nManual:\n\nmkdir -p ~/.openclaw/skills\ncd ~/.openclaw/skills\n# Download and extract skill files\n\nUsage\nBasic Demo Dashboard\ncd ~/.openclaw/workspace # or your working directory\nnode ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_demo_data.js\nnode ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_dashboard.js shadow-ai-data.json\nopen shadow-ai-dashboard.html # or double-click in Finder/Explorer\n\n\nThis generates:\n\nshadow-ai-data.json - Raw usage data\nshadow-ai-dashboard.html - Interactive dashboard\nCustomizing Demo Data\n\nEdit scripts/generate_demo_data.js to customize:\n\nCompany Name:\n\nconst output = {\n company: 'Your Company Name',\n // ...\n};\n\n\nEmployee Count:\n\nconst employees = Array.from({ length: 100 }, (_, i) => ({\n id: `Employee ${i + 1}`,\n // ...\n}));\n\n\nAI Tools Tracked:\n\nconst AI_TOOLS = [\n 'ChatGPT', 'Claude', 'Gemini', 'Your-Custom-Tool'\n];\n\n\nData Categories:\n\nconst DATA_CATEGORIES = [\n { name: 'Your Category', risk: 'High' },\n // ...\n];\n\nAutomated Weekly Reports\n\nSet up with OpenClaw cron:\n\n{\n \"name\": \"Shadow AI Weekly Report\",\n \"schedule\": {\"kind\": \"cron\", \"expr\": \"0 9 * * 1\", \"tz\": \"America/Toronto\"},\n \"payload\": {\n \"kind\": \"agentTurn\",\n \"message\": \"Generate Shadow AI dashboard: 1) Run demo data generator 2) Generate dashboard 3) Send WhatsApp notification with metrics\"\n },\n \"sessionTarget\": \"isolated\",\n \"delivery\": {\"mode\": \"announce\", \"channel\": \"whatsapp\"}\n}\n\nTechnical Details\nData Structure\n{\n \"generated\": \"2026-02-22T15:00:00Z\",\n \"company\": \"Morrison & Associates\",\n \"employeeCount\": 50,\n \"period\": \"Last 7 days\",\n \"events\": [\n {\n \"timestamp\": \"2026-02-22T10:30:00Z\",\n \"employee\": \"Employee 1\",\n \"employeeRole\": \"Senior Associate\",\n \"tool\": \"ChatGPT\",\n \"dataCategory\": \"Client Legal Matters\",\n \"risk\": \"High\"\n }\n ],\n \"metrics\": {\n \"totalEvents\": 268,\n \"topTools\": [[\"ChatGPT\", 89], [\"Claude\", 56]],\n \"riskCounts\": {\"Low\": 95, \"Medium\": 83, \"High\": 90},\n \"complianceScore\": 68,\n \"recommendations\": [\"...\"]\n }\n}\n\nRisk Scoring\n\nHigh Risk:\n\nClient legal matters\nFinancial records\nHealth information\n\nMedium Risk:\n\nPersonal information\nInternal memos\nProprietary data\n\nLow Risk:\n\nGeneral questions\nCode templates\nPublic research\nCompliance Score Calculation\nBase: 100 points\nDeduct: -2 points per % of high-risk events\nDeduct: -0.5 points per % of medium-risk events\nRange: 0-100\n\n\nExample:\n\n268 total events\n90 high-risk (34%) ā†’ -68 points\n83 medium-risk (31%) ā†’ -15.5 points\nScore: 16/100\nDashboard Technology\nPure JavaScript - No npm install required\nChart.js via CDN - Loaded from jsDelivr\nDark Theme - Professional enterprise styling\nResponsive Design - Works on desktop and tablet\nPrint-Optimized - Clean PDF export with letterhead\nUse Cases\n1. CTO Demo\n\nScript:\n\n\"This is Morrison & Associates, a 50-person law firm. Over 7 days, we detected 268 AI tool events. Their PIPEDA compliance score is 16/100 because 34% of interactions involved client legal matters and health records shared with unapproved AI tools.\"\n\nClick compliance score ā†’ Show specific PIPEDA failures\nClick Employee 38 ā†’ Show their risky events\nClick Export ā†’ Board-ready PDF\n\n2. Security Assessment\n\nGenerate dashboard with your organization's data:\n\nMonitor Slack/Teams/Email for AI tool mentions\nLog to JSON format matching data structure\nRun dashboard generator\nPresent findings to security team\n3. Sales Presentation\n\nDemo realistic data showing:\n\nConcerning compliance gaps\nSpecific risk patterns\nClear ROI through risk reduction\nProfessional, board-ready output\n4. Compliance Audit\n\nTrack progress over time:\n\nGenerate weekly snapshots\nCompare compliance scores\nIdentify trends (improving/worsening)\nDocument remediation efforts\nSecurity & Privacy\n\nāœ… No External API Calls - All processing local\nāœ… No Data Collection - Demo data never leaves your machine\nāœ… No Credentials Required - Pure JavaScript execution\nāœ… Anonymized Data - Employee IDs, no PII in demo\nāœ… Open Source - Review all code before running\n\nRequirements\nNode.js (any recent version)\nWeb Browser (Chrome, Firefox, Safari, Edge)\nNo npm packages - Uses only Node.js built-ins\nRoadmap\n\nFuture enhancements:\n\n Real-time monitoring integration\n Multi-company comparison\n Historical trend analysis\n Custom compliance frameworks (GDPR, HIPAA, SOC 2)\n Email delivery of reports\n Slack/Teams integration\n Live data ingestion from DLP tools\nSupport & Contribution\nIssues: Report bugs or request features on ClawHub\nQuestions: OpenClaw Discord community\nContributions: Submit improved visualizations, compliance frameworks, or data sources\nLicense\n\nMIT - Free for personal and commercial use\n\nCredits\n\nBuilt with OpenClaw by the automation engineering community.\n\nVersion: 1.0.0\nAuthor: Automation Engineers\nCategory: Security, Compliance, Analytics\nTags: AI monitoring, PIPEDA, compliance, security, dashboard" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "publisherUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "owner": "TechCodeCrafter", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/shadow-ai-monitor", "downloadUrl": "https://openagent3.xyz/downloads/shadow-ai-monitor", "agentUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/agent", "manifestUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/agent.json", "briefUrl": "https://openagent3.xyz/skills/shadow-ai-monitor/agent.md" } }