Shadow AI Monitor

Shadow AI Monitor - Enterprise-grade dashboard for tracking employee AI tool usage, data exposure risks, and PIPEDA compliance. Generates professional HTML dashboards with interactive drill-downs, compliance analysis, and PDF export. Perfect for CTOs and security teams monitoring ChatGPT, Claude, Gemini, Copilot, and other AI tools. Includes demo data generator for presentations.

TechCodeCrafter@techcodecrafter

Install

openclaw skills install @techcodecrafter/shadow-ai-monitor

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:

bash

node scripts/generate_demo_data.js
node scripts/generate_dashboard.js shadow-ai-data.json

Open shadow-ai-dashboard.html in your browser.

Features

🎯 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

text

shadow-ai-monitor/
├── SKILL.md                        # This file
├── scripts/
│   ├── generate_demo_data.js      # Demo data generator
│   └── generate_dashboard.js      # HTML dashboard generator

Installation

Via ClawHub:

bash

clawhub install shadow-ai-monitor

Manual:

bash

mkdir -p ~/.openclaw/skills
cd ~/.openclaw/skills
# Download and extract skill files

Usage

Basic Demo Dashboard

bash

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:

javascript

const output = {
  company: 'Your Company Name',
  // ...
};

Employee Count:

javascript

const employees = Array.from({ length: 100 }, (_, i) => ({
  id: `Employee ${i + 1}`,
  // ...
}));

AI Tools Tracked:

javascript

const AI_TOOLS = [
  'ChatGPT', 'Claude', 'Gemini', 'Your-Custom-Tool'
];

Data Categories:

javascript

const DATA_CATEGORIES = [
  { name: 'Your Category', risk: 'High' },
  // ...
];

Automated Weekly Reports

Set up with OpenClaw cron:

javascript

{
  "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"}
}

Technical Details

Data Structure

json

{
  "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

text

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

Use Cases

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

Shadow AI Monitor

Install

Shadow AI Monitor

What This Skill Does

Perfect For

Quick Start

Features

🎯 Interactive Dashboard

📋 Personalized Recommendations

🔒 PIPEDA Compliance Analysis

📊 Demo Data Generator

Files

Installation

Usage

Basic Demo Dashboard

Customizing Demo Data

Automated Weekly Reports

Technical Details

Data Structure

Risk Scoring

Compliance Score Calculation

Dashboard Technology

Use Cases

1. CTO Demo

2. Security Assessment

3. Sales Presentation

4. Compliance Audit

Security & Privacy

Requirements

Roadmap

Support & Contribution

License

Credits

Related skills