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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to evaluate real OSS contribution opportunities by scoring issues on availability, competing PRs, staleness, and maintainer sentiment, including live feasibility checks for any repository.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Exposes GitHub issue and pull-request triage capabilities to any MCP client: fetching repository context, classifying and prioritizing requests, finding duplicates, and applying labels, comments, assignments, closures, or reopenings. All writes are policy-gated, dry-run by default, and destructive actions require explicit two-step human confirmation.
      10
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables coding agents to check whether a GitHub issue is already taken before volunteering, by analyzing linked PRs, assignees, claimant comments, AI contribution policies, and repo health to return GO, TAKEN, or CAUTION verdicts.
      3
      343 PyPI
      2
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Zero-dependency open-source contribution companion: repo rules and AI policy radar, evidence-backed issue briefs, pre-submit checks, and review coaching.
      9
      136 PyPI
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Extracts a repository's hidden contribution rules (assignment-first, claim-first, DCO, CLA, vouch requirements) from its docs into a machine-readable contribution-gates.json. Also lets clients check a committed gates file for drift and render a plain-language README badge snippet.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to analyze public GitHub repositories directly through tools for repo health scoring, recent commit summaries, good first issue discovery, and semantic Q&A over docs and issues.
      4
      26 npm
      1
      MIT