explorer

What This Skill Does

The explorer skill serves as a high-powered interface for the GitHub API, designed to help developers, researchers, and technical enthusiasts cut through the noise of the open-source ecosystem. It enables precise discovery of projects by allowing users to query repositories based on specific topics, programming languages, star thresholds, and recency. By leveraging internal sorting logic, the tool can surface high-quality repositories that align with specific growth or popularity metrics, effectively acting as a discovery engine for new frameworks, tools, or research-backed projects.

Installation

To integrate this capability into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/alphafactor/explorer

For enhanced functionality, you should configure your GitHub Personal Access Token. This will upgrade your rate limits from the standard 60 requests per hour to 5000, ensuring uninterrupted data analysis even when executing complex or repetitive searches. Set the environment variable GITHUB_TOKEN in your profile configuration file (e.g., .zshrc) and ensure the environment is refreshed.

Use Cases

• Technical Due Diligence: Evaluate the traction and community activity of a library before integrating it into a production codebase.
• Trend Analysis: Identify emerging languages or frameworks within specific sectors like machine learning, blockchain, or web development by analyzing repositories created within the last 30 or 90 days.
• Learning & Skill Acquisition: Discover high-quality, high-star projects to study source code patterns and modern implementation practices in a specific programming language.
• Market Research: Perform competitive analysis by identifying the most forked or starred tools within a target technology stack.

Example Prompts

1. "Find the top 5 most starred TypeScript projects tagged with 'react' that have been created in the last 6 months."
2. "Show me trending Rust projects related to 'networking' with at least 1000 stars, sorted by the latest update date."
3. "List high-growth AI repositories in Python that have gained significant traction within the last 30 days."

Tips & Limitations

• Rate Limiting: If you do not provide a GITHUB_TOKEN, your usage will be subject to the strict default GitHub API rate limits. High-frequency automated scraping may result in temporary IP blocks.
• Query Complexity: Combining multiple tags (e.g., '--topic python --topic machine-learning') uses an 'AND' relationship. If no results are returned, try broadening your query by removing a tag.
• Data Freshness: The tool relies on GitHub's search API indexes. While generally near real-time, there may be a slight delay in the indexing of extremely new repositories.