Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Data Analysis
Shadow AI Monitor
Shadow AI Monitor - Enterprise-grade dashboard for tracking employee AI tool usage, data exposure risks, and PIPEDA compliance. Generates professional HTML d...
skill openclawclawhub Free
Shadow AI Monitor - Enterprise-grade dashboard for tracking employee AI tool usage, data exposure risks, and PIPEDA compliance. Generates professional HTML d...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, package.json, scripts/generate_dashboard.js, scripts/generate_demo_data.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- TechCodeCrafter
- Source page
- View original listing
- Canonical URL
- Open canonical page
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: ๐ AI Tool Usage Analytics - Track which tools employees use (ChatGPT, Claude, Gemini, Copilot, Midjourney, Grok, Perplexity, Cursor, GitHub Copilot) โ ๏ธ Risk Analysis - Classify data exposure as Low/Medium/High risk ๐ Compliance Scoring - PIPEDA compliance score (0-100) with detailed requirement breakdown ๐ฅ Employee Insights - Anonymized usage patterns and heatmaps ๐ Trend Tracking - Daily usage trends and event logs ๐ 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.
๐ฏ Interactive Dashboard
Click to Explore: Employee Bars โ See top 3 riskiest events, tools used, data categories, dates Compliance Score โ View 5 PIPEDA requirements, pass/fail status, specific fixes Export Button โ Generate PDF with letterhead styling Key Metrics: PIPEDA compliance score (color-coded: green โฅ85, yellow โฅ70, 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)
๐ 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 โ review recommended"
๐ 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
๐ 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/ โโโ SKILL.md # This file โโโ scripts/ โ โโโ generate_demo_data.js # Demo data generator โ โโโ 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%) โ -68 points 83 medium-risk (31%) โ -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 โ Show specific PIPEDA failures Click Employee 38 โ Show their risky events Click Export โ 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
โ No External API Calls - All processing local โ No Data Collection - Demo data never leaves your machine โ No Credentials Required - Pure JavaScript execution โ Anonymized Data - Employee IDs, no PII in demo โ 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
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Config
- SKILL.md
- scripts/generate_dashboard.js
- scripts/generate_demo_data.js
- package.json