SkillCheatSheet
agent-architecture-audit
An AI agent skill from affaan-m/ECC, scored 64 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
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.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- affaan-m/ECC
- Folder
- skills/agent-architecture-audit
- License
- MIT
- GitHub stars
- 301,615
- SKILL.md lines
- 258
- Other files
- 0
Add agent-architecture-audit to your agent
npx skills add affaan-m/ECC --skill agent-architecture-auditThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.