GitHub Intelligence for Openclaw

A specialized tool for AI agents to analyze GitHub repositories, generate architecture diagrams, and convert codebases into AI-readable markdown documents.

aiwithabidi
v1.0.0
Feb 19, 2026
0
687
4

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install a6-github-intel

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install a6-github-intel using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is GitHub Intelligence?

GitHub Intelligence is a robust tool designed to bridge the gap between AI agents and GitHub repositories by transforming complex codebases into structured, AI-friendly formats. It allows developers to convert entire repositories into single markdown documents, making it easier for large language models to process and understand codebase context without manual file navigation.

By leveraging the GitHub API, these Openclaw Skills provide deep insights into repository structure, language distribution, and recent activity history. The tool is built with a focus on safety and simplicity, utilizing only the Python standard library and operating in a strictly read-only mode to ensure no code from analyzed repositories is ever executed.

GitHub Intelligence Use Cases

  • Converting an entire repository into a single markdown file for LLM ingestion.
  • Generating Mermaid architecture diagrams to visualize codebase relationships and entry points.
  • Performing rapid language breakdowns and activity tracking for open source research.
  • Auditing repository structures and README documentation during technical due diligence.
  • Using Openclaw Skills to automate the extraction of repository metadata and file trees.

How GitHub Intelligence Works

  1. The user provides a GitHub repository URL to the analyzer or markdown converter script.
  2. The skill connects to the GitHub API, utilizing an optional GITHUB_TOKEN to increase rate limits from 60 to 5000 requests per hour.
  3. The tool performs a directory traversal based on a configurable depth to map the repository structure.
  4. It fetches and processes the README, language statistics, and commit history.
  5. For architecture visualization, it generates a Mermaid flowchart based on the file hierarchy.
  6. The final output is delivered as a consolidated, structured markdown report ready for AI consumption.

GitHub Intelligence Setup

GitHub Intelligence requires Python 3.10 or higher and has no external dependencies. To get started, configure your environment and run the scripts from your workspace.

# Define the python path in your workspace
PY=~/.openclaw/workspace/.venv/bin/python3

# Optional: Set a GitHub Token for higher rate limits
export GITHUB_TOKEN=your_token_here

# Run a basic analysis
$PY skills/github-intel/scripts/repo_analyzer.py https://github.com/owner/repo

GitHub Intelligence Data Schema & Taxonomy

The skill organizes repository data into a highly structured markdown format. The output typically includes the following components:

Component Format Description
Structure ASCII Tree Visual representation of file and folder hierarchy.
README Markdown The full text of the repository's primary documentation.
Language Breakdown List Percentage of the codebase written in specific languages.
Architecture Mermaid A flowchart visualizing the code structure.
Recent Activity List Summary of recent commits, contributors, and releases.

GitHub Intelligence Advanced Features

  • Configurable directory traversal depth to manage analysis detail level.
  • Max-file capping to ensure large repositories stay within AI context limits.
  • Integrated GitHub URL tricks for accessing hidden API features and search operators.
  • Zero-dependency architecture using only Python stdlib for maximum portability.
  • Read-only execution guarantee to maintain security when analyzing untrusted codebases.
  • Native support for Openclaw Skills workflow integration.

SKILL.md


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