agent-architecture-audit
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes.
- Kind
- Skill
- Works with
- Claude Code, Codex
- Source
- affaan-m/ECC @ d3b8a3e90890
- Path
- skills/agent-architecture-audit/SKILL.md
- License
- MIT
- Jobs
- Debugging, Review, Automation
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# Agent Architecture Audit A diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport/rendering mutations. ## When to Activate **MANDATORY for:** - Releasing any agent or LLM-powered application to production - Shipping features with tool calling, memory, or multi-step workflows - Agent behavior degrades after adding wrapper layers - User reports "the agent is getting worse" or "tools are flaky" - Same model works in playground but breaks inside your wrapper - Debugging agent behavior for more than 15 minutes without finding root cause **Especially critical when:** - You've added new prompt layers, tool definitions, or memory systems - Different agents in your system behave inconsistently - The model was fine yesterday but is hallucinating today - You suspect hidden repair/retry loops silently mutating responses **Do not use for:** - General code debugging — use `agent-introspection-debugging` - Code review — use language-specific reviewer agents - Security scanning — use `security-review` or `security-review/scan` - Agent performance benchmarking — use `agent-eval` …