# Agent Architecture Audit

> Audit LLM and agent applications for wrapper regressions, prompt or memory contamination, tool discipline failures, hidden repair loops, and output rendering corruption. Use before shipping agent features or when an agent works in a direct model call but fails inside the product.

## Facts
- Page: https://tashan.sh/capability/skill-shipshitdev-agent-architecture-audit
- tashan id: skill:shipshitdev/agent-architecture-audit
- Source: https://github.com/shipshitdev/skills
- Type: skill
- Category: ai
- tashan score: 50.0 / 100
- Adoption: 14.0
- Upkeep: 98.0
- Freshness: 95.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- Official: no

## Install

```sh
cp -r agent-architecture-audit ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-12 by tashan (https://tashan.sh) from public evidence. Scorer s5.