Assess GitHub repositories and generate a 0-100 score with extraction proposals.
npx skills add https://github.com/GGEdu/claude-god-mode-template --skill repo-eval-ggedu
Please help me install this Agent Skill. Skill: repo-eval Source: https://github.com/GGEdu/claude-god-mode-template/tree/main/skills/repo-eval Command: npx skills add https://github.com/GGEdu/claude-god-mode-template --skill repo-eval-ggedu
Assess GitHub repositories to identify reusable skills, agents, rules, and stacks, and generate a structured evaluation score with extraction proposals.
Run an evaluation on a target repository URL to generate a complete metadata payload.
High-intent search queries and answers about installing and using this skill.
To identify reusable skills in a GitHub repository, you can run an automated evaluation that checks for a valid SKILL.md at the root, extracts frontmatter metadata, and inspects optional scripts or assets to produce a structured 0-100 score.
A GitHub repository analysis score is used to screen repositories for new skills, agents, rules, and patterns, generating a structured extraction proposal that can be integrated into your existing stacks and workflows.
Yes, you can automate skill extraction by applying this evaluation during repository screening or weekly repo discovery, processing a URL to extract frontmatter names, descriptions, and pattern metadata into a structured payload.
The repository evaluation checks for the presence of a valid SKILL.md file in the root directory, extracts the frontmatter name and description, and inspects optional scripts, references, and assets to discover patterns.
You generate a structured extraction proposal by running an evaluation on a target repository URL, which assesses the repo's contents and outputs a complete metadata payload with a 0-100 score for integration into your system.
Automated pattern discovery relies on identifying a valid SKILL.md at the repository root; if the frontmatter or optional scripts, references, and assets are missing or improperly formatted, the evaluation may not extract the intended patterns.
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