GitHub Explorer for Openclaw

A comprehensive analysis skill that goes beyond READMEs to evaluate GitHub projects through API data, community discussions, and competitive research.

tom859174-sketch
v1.0.0
Mar 21, 2026
1
517
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install github-explorer

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 github-explorer 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 Explorer?

GitHub Explorer is a sophisticated skill designed for AI agents to perform deep-dive technical and community audits of any repository. While most tools stop at the README, this Openclaw Skills integration analyzes Issues, Commits, and cross-platform discussions to provide a 360-degree view of a project's viability.

It utilizes a multi-layered workflow to fetch data directly from the GitHub API and parallelizes search queries across technical blogs, Chinese communities like Zhihu and WeChat, and global discussion boards like Reddit. This ensures developers receive a structured report covering architecture, project health, and real-world user feedback.

GitHub Explorer Use Cases

  • Evaluating open-source libraries for production readiness by analyzing maintainer activity and issue resolution quality.
  • Benchmarking a repository against competitors to identify technical advantages and limitations.
  • Investigating the true community sentiment and common pitfalls of a project beyond its marketing material.
  • Technical stack discovery and architecture analysis for complex software projects.

How GitHub Explorer Works

  1. Repository Location: Uses specialized search layers to identify the exact org/repo and gather initial metadata like stars and license.
  2. Multi-source Parallel Collection: Triggers the GitHub API for raw content (README, Issues, Commits) while simultaneously searching technical blogs and community forums.
  3. Content Extraction: Employs specialized extraction logic for high-anti-crawl sites (WeChat, Zhihu) to ensure clean markdown data.
  4. Analysis & Synthesis: Evaluates project maturity, identifies high-quality technical discussions, and extracts competitive alternatives.
  5. Structured Reporting: Produces a standardized report with deep-links to all cited sources and community threads.

GitHub Explorer Setup

Ensure you have the core Openclaw Skills environment configured. A GitHub Personal Access Token (PAT) is required for API access to avoid rate limiting. You can invoke the search layer directly via CLI:

python3 skills/search-layer/scripts/search.py --queries "project_name review" --mode deep --intent exploratory --num 5

For high-fidelity extraction of community posts, use:

python3 skills/content-extract/scripts/content_extract.py --url <URL>

GitHub Explorer Data Schema & Taxonomy

The skill organizes its output into a highly structured markdown report with the following metadata taxonomy:

Section Data Included
Project Identity Linked name and one-sentence positioning statement.
Core Mechanism Technical architecture summary and primary tech stack.
Health Metrics Star/Fork counts, License type, and Commit frequency trends.
Issue Highlights Top 3-5 high-quality technical issues with links.
Competitive Analysis Comparison with alternatives including direct GitHub/Doc links.
Community Soundbox Aggregated summaries and links from X/Twitter, Reddit, and V2EX.

GitHub Explorer Advanced Features

  • Multi-source intent sensing: Supports specialized modes for exploratory research, competitive comparisons, and status updates.
  • High-fidelity extraction: Automatically falls back to MinerU-HTML when standard fetch methods encounter anti-crawl measures.
  • Cross-platform synthesis: Aggregates technical insights from both English and Chinese developer ecosystems.
  • Visual optimization: Includes mandatory Telegram-friendly formatting with zero-width space fixes for list rendering.

SKILL.md


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