repository-deep-research

Analyze GitHub repository source code, control flow, and architectural invariants.

7|1|Updated Jul 26, 2026

Search Tags:#architecture #research #codebase #github #analysis #source-code

Ready to run

npx skills add https://github.com/paxlabs-inc/ion-agent --skill repository-deep-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: repository-deep-research
Source: https://github.com/paxlabs-inc/ion-agent/tree/main/skills/research/repository-deep-research
Command: npx skills add https://github.com/paxlabs-inc/ion-agent --skill repository-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, curl, python3, and includes references (resource) components.

What problem does it solve?

This Skill solves the problem of superficial codebase understanding by moving beyond marketing-heavy READMEs to perform rigorous, source-first technical analysis.

Core Features & Use Cases

Source-First Deep Dive: Analyzes actual control loops, entry points, and persistence invariants rather than relying on documentation.
Theory-Grounded Analysis: Maps codebase implementation against academic papers or architectural specifications to identify validation, extension, or contradiction.
Dual-Report Delivery: Generates both high-level product stories for stakeholders and deep technical audits for engineering teams.

Quick Start

Use the repository-deep-research skill to perform a full technical breakdown of the repository at the provided GitHub URL.

Frequently Asked Questions about repository-deep-research

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

FAQPage Schema

How do I analyze a GitHub repository's source code beyond its README documentation?▼

Source code analysis goes beyond README files by examining actual control flow, entry points, and persistence invariants to provide a rigorous, source-first technical breakdown of the codebase architecture.

Can I map my codebase implementation against academic papers or design specifications?▼

Yes, theory-grounded analysis maps codebase implementations against academic papers or architectural specifications to identify validation, extension, or contradiction within the source code.

What is the best way to perform a technical audit of a GitHub codebase for competitive analysis?▼

A technical audit for competitive analysis performs deep research on GitHub repositories by analyzing source code, control flow, and architectural invariants, delivering both product stories and engineering audits.

Do I need git and python3 installed to run source-first codebase analysis?▼

Yes, source-first codebase analysis requires git, curl, and python3 as dependencies to clone repositories, fetch resources, and execute the deep technical research scripts on the source code.

How does deep research reporting work for both engineering teams and stakeholders?▼

Deep research reporting uses a dual-report delivery system that generates high-level product stories for stakeholders alongside deep technical audits for engineering teams from a single codebase analysis.