An AI-powered tool that searches, evaluates, and compares GitHub repositories based on natural language project ideas or direct links.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-analyzer 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 Project Analysis Assistant?
The GitHub Project Analysis Assistant is a specialized tool for developers and researchers designed to bridge the gap between project ideation and technical implementation. By leveraging Openclaw Skills, this agent can transform a simple project description into a curated list of relevant open-source repositories. It performs deep analysis on repository health, tech stacks, and feature sets, providing structured reports that help users choose the best foundations for their work. Whether you are looking for inspiration or conducting competitive research, this skill automates the tedious process of manual repository evaluation.
GitHub Project Analysis Assistant Use Cases
- Discovering existing open-source projects that match a specific project concept or intent.
- Conducting technical due diligence on specific GitHub URLs to evaluate code quality and activity.
- Comparing multiple repositories side-by-side to determine which tech stack best fits a developer's needs.
- Bulk downloading and archiving the highest-rated repositories for offline code review.
How GitHub Project Analysis Assistant Works
- The agent identifies the user's mode: Intent Search (description-based) or Direct Link Analysis.
- For searches, it extracts 2-4 core keywords and queries the GitHub Search API, prioritizing repositories by star count.
- The skill applies quality filters, excluding forks, archived projects, or repositories that haven't been updated within the last year.
- It fetches detailed metadata, including README content (up to 3000 characters), language statistics, and license info.
- An AI-driven report is generated, scoring projects based on activity, documentation, and ease of use.
- The user is prompted to download the top-3 scoring repositories, which the agent then zips and saves to a local directory.
GitHub Project Analysis Assistant Setup
To get started with this component of your Openclaw Skills library, ensure your environment is configured for GitHub API access. While not strictly required for low-volume use, a GITHUB_TOKEN is highly recommended to increase rate limits.
# Set your GitHub Personal Access Token
export GITHUB_TOKEN="your_github_pat_here"
# The skill utilizes internal scripts located in the SKILL_DIR
python3 SKILL_DIR/scripts/search_github.py "your search query"
GitHub Project Analysis Assistant Data Schema & Taxonomy
The skill generates structured technical reports and organizes local storage as follows:
| Data Point | Description |
|---|---|
| Project Metrics | Stars, Forks, Primary Languages, and License type. |
| Activity Status | Last commit date and repository health indicators. |
| AI Evaluation | Core functionality breakdown, Pros/Cons list, and a 1-10 suitability score. |
| Comparison Table | A matrix comparing Stars, Language, Documentation quality, and Overall Score. |
| Local Storage | Repositories are saved to ~/Downloads/github-analyzer/ in ZIP format. |
GitHub Project Analysis Assistant Advanced Features
- Multi-mode analysis supporting natural language intent, direct URLs, and batch comparison.
- Intelligent keyword extraction to improve search relevance for abstract project ideas.
- Automated repository filtering to ensure only high-quality, active projects are presented.
- Integrated download manager that packages the top-rated source code for immediate developer use.
- Seamless integration with GITHUB_TOKEN for high-frequency technical research sessions.
SKILL.md
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