agent-architecture-audit

Audit the 12-layer agent stack for wrapper regressions and memory pollution.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill agent-architecture-audit-sakamoto-family-smile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-architecture-audit
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/agent-architecture-audit
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill agent-architecture-audit-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Full-stack diagnostics for agent and LLM applications. This skill audits the 12-layer agent stack to uncover wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption, delivering severity-ranked findings with actionable fixes.

Core Features & Use Cases

  • End-to-end health checks across prompts, memory, tool execution, and rendering
  • Structured audit workflow (scope, evidence collection, failure mapping, and fix strategy)
  • Code-first remediation guidance tailored to developer workflows

Quick Start

Run the audit workflow against your agent repository to generate a findings report.

Frequently Asked Questions about agent-architecture-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose agent architecture failures across my LLM application stack?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.

What is the best way to fix hidden repair loops and memory pollution in agent applications?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.

Does agent architecture auditing work for production environments or only development?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.

How to audit tool discipline failures and wrapper regressions in an agent repository?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.

When do I need a full-stack diagnostic audit for my LLM agent?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.

What are the limitations of diagnosing agent failures without a structured audit workflow?

Agent architecture audits identify failure origins by mapping evidence across the 12-layer stack, from prompt design to rendering delivery, ensuring structured scope and code-first remediation plans for development, staging, and production environments.