Classify GitHub repositories using a multi-signal scoring rubric.
npx skills add https://github.com/IcedVodka/skill --skill github-repo-discovery
Please help me install this Agent Skill. Skill: github-repo-discovery Source: https://github.com/IcedVodka/skill/tree/main/github-repo-discovery Command: npx skills add https://github.com/IcedVodka/skill --skill github-repo-discovery
This Skill solves the challenge of finding high-quality, relevant GitHub repositories while filtering out low-effort AI-generated content and fake-star inflation.
Use the github-repo-discovery skill to find and rank the top five active repositories for the category of AI agent frameworks.
High-intent search queries and answers about installing and using this skill.
To find high-quality GitHub repositories and filter out fake stars, this Skill applies a multi-signal scoring rubric that evaluates recency, issue health, and fork-to-star ratios to identify genuine projects.
You can search for open-source libraries and Agent Skills on GitHub using specialized query strategies that target specific code and topics, ensuring relevant discovery across diverse project categories.
Yes, you need the GitHub CLI installed for authenticated API access and local script execution to verify repository health and relevance during the discovery process.
The best way to verify if an open-source framework is actively maintained is by applying a quality scoring rubric that checks recency of updates and overall issue health.
The repository quality scoring mechanism works by accounting for star inflation and project maintenance, using a multi-factor rubric to classify high-quality GitHub repositories.
Yes, you can use this to find reliable code for specific tasks by searching, scoring, and verifying top candidate repositories to ensure you are building on trustworthy open-source projects.
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