agent-architecture-analysis

Audit LLM-powered agent codebases for 12-Factor Agents compliance.

Updated Jul 18, 2026
One-click install
npx skills add https://github.com/arthrod/conejo-skills --skill agent-architecture-analysis-arthrod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-architecture-analysis
Source: https://github.com/arthrod/conejo-skills/tree/main/skills/agent-architecture-analysis
Command: npx skills add https://github.com/arthrod/conejo-skills --skill agent-architecture-analysis-arthrod

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the lack of architectural rigor in LLM-powered applications by providing a systematic, evidence-based audit against the 12-Factor Agents methodology.

Core Features & Use Cases

  • Compliance Auditing: Evaluates agent codebases for architectural maturity, including prompt management, state handling, and tool-use patterns.
  • Gap Analysis: Identifies specific anti-patterns like hardcoded prompts, unvalidated tool outputs, or lack of human-in-the-loop mechanisms.
  • Use Case: Use this when onboarding a new agentic project or preparing an existing system for production to ensure it is resilient, observable, and maintainable.

Quick Start

Run the agent-architecture-analysis skill by providing the root path of your codebase to receive a comprehensive compliance report.

Frequently Asked Questions about agent-architecture-analysis

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

FAQPage Schema
How do I audit an LLM agent codebase for architectural compliance?

To audit an LLM agent codebase for architectural compliance, provide the root path of your project to run a deep structural analysis against the 12-Factor Agents methodology and receive a comprehensive compliance report.

What is the 12-Factor Agents methodology for agentic systems?

The 12-Factor Agents methodology is a systematic standard evaluating architectural maturity in LLM-powered applications, focusing on prompt management, state handling, tool-use patterns, and human-in-the-loop mechanisms to ensure resilience and maintainability.

How do I identify technical debt and anti-patterns in my agent logic?

You identify technical debt and anti-patterns in agent logic by performing a gap analysis that detects hardcoded prompts, unvalidated tool outputs, and missing human-in-the-loop mechanisms during an architectural review.

Do I need file-level access to prompt templates and state management modules for an architecture audit?

Yes, an architecture audit requires file-level access to agent logic, prompt templates, and state management modules to perform deep structural analysis and accurately assess system compliance.

When should I run a 12-Factor compliance audit on an agentic application?

You should run a 12-Factor compliance audit when onboarding a new agentic project or preparing an existing LLM-powered system for production to ensure it is resilient, observable, and maintainable.