Compliance Audit Assistant

AI Agent Compliance Assistant

A comprehensive security and compliance auditing tool designed specifically for AI agents in the OpenClaw/ClawHub ecosystem.

What It Does

🔍 Security Scanning

• Code Injection Detection: Identifies dangerous eval(), exec(), compile() usage
• Command Injection Detection: Finds os.system(), subprocess.Popen() calls
• Unsafe Deserialization: Detects pickle.loads(), yaml.load() patterns
• Hardcoded Secrets: Flags passwords, API keys embedded in source code
• Risk Scoring: Calculates 0-100 risk score based on severity and count

📋 Compliance Checking

• GDPR Compliance: Data protection, consent verification, cross-border transfer checks
• CCPA Compliance: California consumer privacy regulation alignment
• Data Minimization: Ensures only necessary personal data is collected
• Privacy by Design: Evaluates privacy-first architecture patterns

📊 Report Generation

• HTML Reports: Rich interactive vulnerability reports
• JSON Output: Machine-readable results for CI/CD integration
• Summary View: Quick executive summary with key metrics
• Remediation Guidance: Specific fix recommendations for each finding

When to Use This Skill

Use this skill when you need to:

• Audit an AI agent or skill before deployment
• Check code for security vulnerabilities
• Verify compliance with data protection regulations
• Generate audit reports for stakeholders
• Integrate security scanning into your development pipeline

How It Works

1. Input: Provide agent/skill code (Python, JavaScript, TypeScript)
2. Analysis: Multi-pattern scanning engine checks for known vulnerability types
3. Scoring: Risk score calculated based on severity weights
4. Output: Detailed report with findings and remediation steps

Example Usage

Basic Scan

Scan this Python code for security issues:

import os
import pickle

def process_user_input():
    cmd = input("Enter command: ")
    os.system(cmd)
    
data = pickle.loads(user_data)
return eval(expression)

Expected Output

Risk Score: 65/100 (WARNING)

Vulnerabilities Found:
1. CRITICAL - Command Injection (Line 5)
   Issue: os.system() with user input
   Fix: Use subprocess.run() with explicit arguments list

2. HIGH - Unsafe Deserialization (Line 8)
   Issue: pickle.loads() on untrusted data
   Fix: Use JSON or safe serialization format

3. CRITICAL - Code Injection (Line 10)
   Issue: eval() with dynamic expression
   Fix: Use ast.literal_eval() for safe evaluation

Supported Languages

• Python 3.x
• JavaScript (ES6+)
• TypeScript

Integration

CLI Usage

# Scan a file
clawhub run @epstion518/compliance-audit-assistant --file agent.py

# Scan inline code
clawhub run @epstion518/compliance-audit-assistant --code "import os; os.system('ls')"

# JSON output for pipelines
clawhub run @epstion518/compliance-audit-assistant --file agent.py --format json

API Usage

from compliance_audit import SecurityScanner

scanner = SecurityScanner()
result = scanner.scan_code(your_agent_code)

print(f"Risk Score: {result['risk_score']}")
for vuln in result['vulnerabilities']:
    print(f"{vuln['severity']}: {vuln['description']}")

Configuration Options

Limitations

• Static analysis only (does not execute code)
• Pattern-based detection may produce false positives
• Compliance rules are generalized (not legal advice)
• Does not replace professional security audits

Version History

• 1.0.0 (2026-06-30): Initial release with core security scanning and GDPR compliance checks

License

MIT-0 (No Attribution Required)

Author

@epstion518 - Agent Compliance Org

Support

For issues, feature requests, or questions:

• GitHub Issues: [repository URL]
• Discord: OpenClaw community