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ClawGuard AI Agent Security Ecosystem - Mermaid Diagrams

Research Date: 2026-02-18 Generated for: CODITECT Platform Integration Source: ClawGuard Ecosystem Analysis (3 frameworks)

1. System Architecture Overview​

2. Security Hook Lifecycle​

3. Pattern Detection Pipeline​

4. Comparative Architecture: Three Frameworks​

5. Data Flow: Events to Dashboard​

6. Risk Scoring Model​

7. Supply Chain Security: Skill Submission Workflow​

8. ClawGuardian Hook Integration Points​

9. Multi-Gateway Monitoring Architecture​

10. CODITECT Integration Strategy​

11. Pattern Severity Matrix​

12. Event Store Schema​

13. Malware Detection: Fork and Trojanize Pattern​

Integration Notes​

All diagrams reflect the three-framework ecosystem:

  1. ClawGuardian (superglue-ai) - Hook-based framework integration

    • Lifecycle hooks at system_prompt, tool_call, tool_result
    • Severity-based action routing
    • Production-ready TypeScript with 45K test lines

  2. clawguard (JaydenBeard) - Real-time monitoring and alerting

    • 55+ pattern library (most comprehensive)
    • Multi-gateway support (OpenClaw, MoltBot, ClawdBot)
    • Kill switch and emergency controls
    • WebSocket dashboard with multi-channel alerts

  3. ClawGuard (maxxie114) - Email sanitization and risk scoring

    • 10 prompt injection patterns + 6 secret types
    • SQLite EventStore for audit trails
    • Admin dashboard with timeline visualization
    • Regex-based risk aggregation

CODITECT Recommendation: Adopt ClawGuardian hook architecture as primary security layer, integrate JaydenBeard patterns for operational monitoring, extend Maxxie risk scoring model for unified risk assessment.

Generated 2026-02-18 | ClawGuard Ecosystem Research | CODITECT Platform Integration