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analyze-agent

Analyze AI agent source code across 12 dimensions into Markdown documentation.

4|1|Updated Feb 22, 2026
Search Tags:#code analysis#documentation#ai agent#software architecture#reverse engineering#platform agent
One-click install
npx skills add https://github.com/7hinkDifferent/agent-cracker --skill analyze-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-agent
Source: https://github.com/7hinkDifferent/agent-cracker/tree/main/.claude/skills/analyze-agent
Command: npx skills add https://github.com/7hinkDifferent/agent-cracker --skill analyze-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill systematically analyzes the source code of AI agents, breaking down their core mechanisms and platform-specific features into a structured, documented format.

Core Features & Use Cases

  • Comprehensive Analysis: Evaluates agents across 12 dimensions (8 core, 4 platform-specific).
  • Structured Documentation: Generates detailed Markdown documentation for each agent.
  • MVP Component Mapping: Identifies essential components for building minimal reproducible versions.
  • Use Case: When evaluating a new open-source AI agent, use this Skill to quickly understand its architecture, agent loop, tool system, and context management, enabling faster integration and comparison.

Quick Start

Use the analyze-agent skill to analyze the agent named 'aider'.

Frequently Asked Questions about analyze-agent

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

FAQPage Schema
How do I analyze AI agent source code to understand its architecture?▼

To analyze AI agent source code, this Skill systematically evaluates the agent across 8 core dimensions including the agent loop, tool system, and context management, outputting structured Markdown documentation for architecture review.

What dimensions are covered when reverse engineering an AI agent?▼

Reverse engineering an AI agent covers 12 dimensions: 8 core areas like prompt engineering, error handling, and key innovations, plus 4 platform-specific features including channels, memory, and security mechanisms.

How do I generate documentation for a new open-source AI agent?▼

You generate documentation by placing the agent source code in the projects directory and using this Skill to map essential components, producing a detailed Markdown file in the docs folder.

Do I need an existing analysis doc to evaluate an AI agent's tool system?▼

Yes, evaluating an AI agent's tool system requires a pre-existing analysis document in the docs directory alongside the agent source code in the projects directory to function properly.

Can I compare software architecture across different AI agents?▼

Yes, you can compare software architecture across different AI agents through the cross-agent comparison dimension, which evaluates key innovations and platform-specific features to enable faster integration.

How to identify MVP components for building a minimal reproducible AI agent?▼

To identify MVP components for a minimal reproducible AI agent, this Skill maps essential mechanisms from the source code analysis, highlighting the core agent loop and tool system required for replication.

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