📄️ ADR-001: Agent Security Layer Architecture
Status: Proposed
📄️ ADR-002: Security Pattern Library Format
Status: Proposed
📄️ ADR-003: Fail-Open vs Fail-Closed Security Gate
Status: Proposed
📄️ ADR-004: Risk Scoring Model
Status: Proposed
📄️ ADR-005: Malicious Supply Chain Detection for Third-Party Skills and Plugins
Status: Proposed
📄️ ADR-006: CI Security Gate Pipeline
Status: Accepted
📄️ ClawGuard AI Agent Security Ecosystem: Detailed Quick-Start Guide
Three independent open-source projects share the "ClawGuard" name and all target AI agent security. They are unrelated codebases from different authors, each solving a different layer of the problem. This guide covers all three, ranked by CODITECT relevance.
📄️ ClawGuard AI Agent Security Ecosystem — C4 Architecture Model
C4 Architecture Model
📄️ ClawGuard AI Agent Security Ecosystem — CODITECT Impact Analysis
Date: 2026-02-18
📄️ ClawGuard AI Agent Security Ecosystem — Executive Summary
Executive Summary — CTO / VP Engineering Decision Brief
📄️ ClawGuard AI Agent Security Ecosystem — Follow-Up Research Prompts
Date: 2026-02-18
📄️ ClawGuard AI Agent Security Ecosystem - Glossary
Comprehensive glossary mapping ClawGuard ecosystem terms to CODITECT equivalents and industry standards
📄️ MASTER-TRACK-INDEX — Agent Security R&D
Project: coditect-dev-agent-security
📄️ ClawGuard AI Agent Security Ecosystem - Mermaid Diagrams
Comprehensive system architecture diagrams for AI agent security with ClawGuard ecosystem integration
📄️ Project Plan: CODITECT Agent Security Layer
Document ID: PLAN-CODITECT-SEC-001
📄️ Readme
AI agent security patterns, risk scoring, and supply chain trust verification for the CODITECT platform.
📄️ Software Design Document: CODITECT AI Agent Security Layer
Document ID: SDD-CODITECT-SEC-001
📄️ Technical Design Document: CODITECT Agent Security Layer
Version: 1.0.0
📄️ TRACK-D Development & Engineering
Progress: 0/62 tasks complete (0%)
📄️ TRACK-O Operations & Compliance
Progress: 0/32 tasks complete (0%)
📄️ TRACK-R Research & Analysis
Progress: 23/23 tasks complete (100%)
📄️ TRACK-T Testing & Quality
Progress: 0/52 tasks complete (0%)