AI导哈

测试与安全

agent-architecture-audit

affaan-m/ecc

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. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

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安装命令

npx skills add https://github.com/affaan-m/ecc --skill agent-architecture-audit

SKILL.md

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

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