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System Audit Bot

Purpose

Performs comprehensive military-style system audits and inspections across the entire infrastructure.

Features

Configuration

Bot Settings

bot_name: audit-bot
capacity: continuous  # Always available for audits
priority: critical
schedule: daily  # Automated daily audits
manual_trigger: enabled

Usage

Basic Usage

# Run full system audit
python scripts/system-audit.py

# Run with markdown output
python scripts/system-audit.py --format markdown

# Run with all formats
python scripts/system-audit.py --format all

# Quiet mode (no console output)
python scripts/system-audit.py --quiet

Command Line Options

--output-dir DIR    Directory to save reports (default: logs)
--format FORMAT     Report format: markdown, json, text, or all
--quiet             Suppress console output

Makefile Integration

# Run system audit
make system-audit

# Run audit and generate reports
make audit-report

API Usage

from scripts.system_audit import SystemAuditor

# Create auditor instance
auditor = SystemAuditor()

# Run full audit
results = auditor.run_full_audit()

# Generate report
report = auditor.generate_report(format_type="markdown")

# Save reports
auditor.save_report(output_dir="logs", format_type="all")

Output Format

Report Sections

  1. Infrastructure Audit
    • Directory structure verification
    • Configuration file checks
    • Python environment status
    • Git repository status
  2. Agent Infrastructure Audit
    • All 26+ agents status
    • Agent documentation verification
    • Operational capacity assessment
  3. Data Integrity Audit
    • Data directory structure
    • File counts and sizes
    • Storage utilization
  4. Documentation Audit
    • Required documentation presence
    • Document completeness
    • Size and quality checks
  5. Security Audit
    • Environment variable protection
    • .gitignore configuration
    • Sensitive file detection
    • Security best practices
  6. Workflow Audit
    • GitHub Actions status
    • Workflow file validation
    • Required workflows check
  7. Scripts Audit
    • Python scripts validation
    • Script executability
    • Size and integrity checks
  8. Web Interface Audit
    • HTML pages count
    • JavaScript files
    • CSS stylesheets
    • Asset validation
  9. Resource Utilization Audit
    • Repository size
    • Logs directory size
    • Cache directory size
    • Resource recommendations

Sample Output (Markdown)

# SYSTEM-WIDE MILITARY AUDIT AND INSPECTION REPORT

---

**Audit ID:** AUDIT-20260104180000
**Timestamp:** 2026-01-04T18:00:00Z
**Classification:** INTERNAL USE
**Overall Status:** OPERATIONAL

---

## EXECUTIVE SUMMARY

- **Total Sections Audited:** 9
- **Total Issues Found:** 2
- **Total Recommendations:** 5
- **System Status:** OPERATIONAL

## INFRASTRUCTURE
**Status:** OPERATIONAL

### Issues
- ⚠️ None

### Recommendations
- 💡 Consider regular backup automation

---

## AUDIT CERTIFICATION

This audit was conducted automatically on 2026-01-04 at 18:00:00 UTC.
All findings are based on automated checks and should be verified by human operators.

**END OF REPORT**

Sample Output (JSON)

{
  "audit_id": "AUDIT-20260104180000",
  "timestamp": "2026-01-04T18:00:00Z",
  "audit_type": "system_wide_inspection",
  "classification": "INTERNAL USE",
  "overall_status": "OPERATIONAL",
  "sections": {
    "infrastructure": {
      "status": "OPERATIONAL",
      "components": {...},
      "issues": [],
      "recommendations": []
    },
    ...
  },
  "summary": {
    "total_sections": 9,
    "total_issues": 2,
    "total_recommendations": 5,
    "overall_status": "OPERATIONAL"
  }
}

Status Levels

Level Description Action Required
OPERATIONAL All systems functioning normally None - routine monitoring
WARNING Minor issues detected Review recommendations
DEGRADED Significant issues affecting functionality Immediate attention needed
CRITICAL Severe issues compromising system Emergency response required

Audit Sections Detail

Infrastructure Components

Agent Monitoring

Security Checks

Resource Thresholds

Integration

GitHub Actions Workflow

The audit bot can be triggered via GitHub Actions:

name: Daily System Audit

on:
  schedule:
    - cron: '0 6 * * *'  # Daily at 6 AM UTC
  workflow_dispatch:

jobs:
  system-audit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'
      
      - name: Run System Audit
        run: |
          python scripts/system-audit.py --format all
      
      - name: Upload Audit Reports
        uses: actions/upload-artifact@v4
        with:
          name: audit-reports
          path: logs/system_audit_*.{md,json,txt}
      
      - name: Commit Reports
        run: |
          git config user.name "Audit Bot"
          git add logs/
          git commit -m "📋 Daily system audit completed"
          git push

Monitoring Dashboard

Audit results can be integrated into the web dashboard:

# Generate audit and update dashboard
python scripts/system-audit.py --format json
python scripts/update-dashboard.py --audit-data logs/system_audit_latest.json

Scheduled Operations

Daily Audits

Weekly Deep Audits

On-Demand Audits

Alerts and Notifications

Critical Alerts

Warning Alerts

Best Practices

  1. Run audits regularly - Daily automated audits catch issues early
  2. Review reports - Human verification of automated findings
  3. Address issues promptly - Fix degraded status items immediately
  4. Track trends - Monitor audit history for patterns
  5. Update thresholds - Adjust warning levels as system grows

Audit History

All audit reports are stored in logs/ directory:

Troubleshooting

Common Issues

Issue: Permission denied when saving reports

# Fix permissions
chmod -R u+w logs/

Issue: Module not found errors

# Install dependencies
pip install -r requirements.txt

Issue: Audit takes too long

# Run in quiet mode
python scripts/system-audit.py --quiet

Dependencies

Development

Adding New Audit Sections

  1. Add method to SystemAuditor class: 
    def _audit_new_section(self):
 section = {
     "status": "OPERATIONAL",
     "checks": {},
     "issues": [],
     "recommendations": []
 }
 # Add checks here
 self.audit_results["sections"]["new_section"] = section
  2. Call method in run_full_audit(): 
    self._audit_new_section()
  3. Update documentation

Testing

# Test audit execution
python scripts/system-audit.py --format all

# Verify all reports generated
ls -la logs/system_audit_*

# Check JSON validity
python -m json.tool logs/system_audit_latest.json

Compliance

This audit bot follows:

Report Retention

Support

For issues or questions:

Version: 1.0.0 Last Updated: 2026-01-04 Maintainer: System Audit Bot Status: ✅ Production Ready