Agent Architecture Audit
affaan-m
Agent Architecture Audit
Run a full-stack diagnostic on agent and LLM applications to uncover wrapper regression, memory pollution, and tool failures.
New tool
0 downloads
Free
About
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.
Key Features
12-layer agent stack diagnostic mapping
Evidence collection patterns via ripgrep
Code-first fix strategy prioritization
Severity-ranked finding reports
Privacy & Security
Data Collection
This tool follows industry-standard security practices and only collects data necessary for functionality.
Information
Developeraffaan-m
Version1.0.0
Ratingeveryone
LanguagesEnglish
Actions
- Scope the audit target and symptoms
- Collect codebase evidence with search patterns
- Map findings to the 12-layer stack
- Generate a severity-ranked fix plan