# Send Shadow AI Monitor to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "shadow-ai-monitor", "name": "Shadow AI Monitor", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "canonicalUrl": "https://clawhub.ai/TechCodeCrafter/shadow-ai-monitor", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/shadow-ai-monitor", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=shadow-ai-monitor", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "package.json", "scripts/generate_dashboard.js", "scripts/generate_demo_data.js" ], "downloadMode": "redirect", "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." ] } }, "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" } } ``` ## Documentation ### Shadow AI Monitor A professional web dashboard system for tracking employee AI tool usage, identifying data exposure risks, and measuring PIPEDA compliance. ### What This Skill Does Generates enterprise-grade HTML dashboards showing: 📊 AI Tool Usage Analytics - Track which tools employees use (ChatGPT, Claude, Gemini, Copilot, Midjourney, Grok, Perplexity, Cursor, GitHub Copilot) ⚠️ Risk Analysis - Classify data exposure as Low/Medium/High risk 📋 Compliance Scoring - PIPEDA compliance score (0-100) with detailed requirement breakdown 👥 Employee Insights - Anonymized usage patterns and heatmaps 📈 Trend Tracking - Daily usage trends and event logs 📄 Board-Ready Reports - PDF export with professional styling ### Perfect For Security Teams monitoring shadow AI adoption CTOs assessing compliance gaps Legal/Compliance teams tracking data exposure Sales Teams demoing AI governance products Consultants delivering AI risk assessments ### Quick Start Generate a demo dashboard: node scripts/generate_demo_data.js node scripts/generate_dashboard.js shadow-ai-data.json Open shadow-ai-dashboard.html in your browser. ### 🎯 Interactive Dashboard Click to Explore: Employee Bars → See top 3 riskiest events, tools used, data categories, dates Compliance Score → View 5 PIPEDA requirements, pass/fail status, specific fixes Export Button → Generate PDF with letterhead styling Key Metrics: PIPEDA compliance score (color-coded: green ≥85, yellow ≥70, red <70) Risk event breakdown (High/Medium/Low) Top 3 AI tools by usage Top 10 employees (anonymized) Visualizations: Bar charts: Tool usage, employee activity Doughnut chart: Risk distribution Line chart: Daily trends Heat map: Employee usage intensity Scrollable event log (last 20 events, high-risk highlighted) ### 📋 Personalized Recommendations Auto-generated advice based on actual data patterns: References specific employees and percentages Tool-specific recommendations (e.g., "ChatGPT accounts for 48% of usage") Compliance-specific action items Example: "Employee 5 generated 8 high-risk events involving client matters — review recommended" ### 🔒 PIPEDA Compliance Analysis Detailed breakdown of 5 core requirements: Consent for Collection Limiting Use, Disclosure & Retention Safeguards Openness Individual Access Each shows: Pass/Fail status Requirement description Specific action items using your actual data ### 📊 Demo Data Generator Creates realistic data for a 50-person Canadian organization: Configurable: Company name (default: Morrison & Associates) Employee count AI tools tracked Data categories (Client Legal, Financial, Health, Personal, etc.) Risk distribution Time period (last 7 days default) Realistic Patterns: Mix of 9 different AI tools Varied risk levels (~25% high, ~35% medium, ~40% low) Employee anonymization (Employee 1, Employee 2, etc.) Concerning patterns for demo impact ### Files shadow-ai-monitor/ ├── SKILL.md # This file ├── scripts/ │ ├── generate_demo_data.js # Demo data generator │ └── generate_dashboard.js # HTML dashboard generator ### Installation Via ClawHub: clawhub install shadow-ai-monitor Manual: mkdir -p ~/.openclaw/skills cd ~/.openclaw/skills # Download and extract skill files ### Basic Demo Dashboard cd ~/.openclaw/workspace # or your working directory node ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_demo_data.js node ~/.openclaw/skills/shadow-ai-monitor/scripts/generate_dashboard.js shadow-ai-data.json open shadow-ai-dashboard.html # or double-click in Finder/Explorer This generates: shadow-ai-data.json - Raw usage data shadow-ai-dashboard.html - Interactive dashboard ### Customizing Demo Data Edit scripts/generate_demo_data.js to customize: Company Name: const output = { company: 'Your Company Name', // ... }; Employee Count: const employees = Array.from({ length: 100 }, (_, i) => ({ id: \`Employee ${i + 1}\`, // ... })); AI Tools Tracked: const AI_TOOLS = [ 'ChatGPT', 'Claude', 'Gemini', 'Your-Custom-Tool' ]; Data Categories: const DATA_CATEGORIES = [ { name: 'Your Category', risk: 'High' }, // ... ]; ### Automated Weekly Reports Set up with OpenClaw cron: { "name": "Shadow AI Weekly Report", "schedule": {"kind": "cron", "expr": "0 9 * * 1", "tz": "America/Toronto"}, "payload": { "kind": "agentTurn", "message": "Generate Shadow AI dashboard: 1) Run demo data generator 2) Generate dashboard 3) Send WhatsApp notification with metrics" }, "sessionTarget": "isolated", "delivery": {"mode": "announce", "channel": "whatsapp"} } ### Data Structure { "generated": "2026-02-22T15:00:00Z", "company": "Morrison & Associates", "employeeCount": 50, "period": "Last 7 days", "events": [ { "timestamp": "2026-02-22T10:30:00Z", "employee": "Employee 1", "employeeRole": "Senior Associate", "tool": "ChatGPT", "dataCategory": "Client Legal Matters", "risk": "High" } ], "metrics": { "totalEvents": 268, "topTools": [["ChatGPT", 89], ["Claude", 56]], "riskCounts": {"Low": 95, "Medium": 83, "High": 90}, "complianceScore": 68, "recommendations": ["..."] } } ### Risk Scoring High Risk: Client legal matters Financial records Health information Medium Risk: Personal information Internal memos Proprietary data Low Risk: General questions Code templates Public research ### Compliance Score Calculation Base: 100 points Deduct: -2 points per % of high-risk events Deduct: -0.5 points per % of medium-risk events Range: 0-100 Example: 268 total events 90 high-risk (34%) → -68 points 83 medium-risk (31%) → -15.5 points Score: 16/100 ### Dashboard Technology Pure JavaScript - No npm install required Chart.js via CDN - Loaded from jsDelivr Dark Theme - Professional enterprise styling Responsive Design - Works on desktop and tablet Print-Optimized - Clean PDF export with letterhead ### 1. CTO Demo Script: "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." Click compliance score → Show specific PIPEDA failures Click Employee 38 → Show their risky events Click Export → Board-ready PDF ### 2. Security Assessment Generate dashboard with your organization's data: Monitor Slack/Teams/Email for AI tool mentions Log to JSON format matching data structure Run dashboard generator Present findings to security team ### 3. Sales Presentation Demo realistic data showing: Concerning compliance gaps Specific risk patterns Clear ROI through risk reduction Professional, board-ready output ### 4. Compliance Audit Track progress over time: Generate weekly snapshots Compare compliance scores Identify trends (improving/worsening) Document remediation efforts ### Security & Privacy ✅ No External API Calls - All processing local ✅ No Data Collection - Demo data never leaves your machine ✅ No Credentials Required - Pure JavaScript execution ✅ Anonymized Data - Employee IDs, no PII in demo ✅ Open Source - Review all code before running ### Requirements Node.js (any recent version) Web Browser (Chrome, Firefox, Safari, Edge) No npm packages - Uses only Node.js built-ins ### Roadmap Future enhancements: Real-time monitoring integration Multi-company comparison Historical trend analysis Custom compliance frameworks (GDPR, HIPAA, SOC 2) Email delivery of reports Slack/Teams integration Live data ingestion from DLP tools ### Support & Contribution Issues: Report bugs or request features on ClawHub Questions: OpenClaw Discord community Contributions: Submit improved visualizations, compliance frameworks, or data sources ### License MIT - Free for personal and commercial use ### Credits Built with OpenClaw by the automation engineering community. Version: 1.0.0 Author: Automation Engineers Category: Security, Compliance, Analytics Tags: AI monitoring, PIPEDA, compliance, security, dashboard ## Trust - Source: tencent - Verification: Indexed source record - Publisher: TechCodeCrafter - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/shadow-ai-monitor) - [Send to Agent page](https://openagent3.xyz/skills/shadow-ai-monitor/agent) - [JSON manifest](https://openagent3.xyz/skills/shadow-ai-monitor/agent.json) - [Markdown brief](https://openagent3.xyz/skills/shadow-ai-monitor/agent.md) - [Download page](https://openagent3.xyz/downloads/shadow-ai-monitor)