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    • A
      license
      A
      quality
      D
      maintenance
      Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.
      2
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.
      20
      26
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to vet a GitHub issue before committing time to it, returning a landability verdict (GO, RISKY, TAKEN, GATED, STALE) plus repo friction scores, gate evidence, and ranked scans of a repository's starter issues. Also exposes contribution automation tools that draft claim comments, prep a fork and branch with a repo-specific checklist, and open a pull request once basics like DCO sign-off pass, with all writes dry-run by default.
      1,785 npm
      MIT
    • 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
      A
      maintenance
      Enables developers to find personalized open-source contributions by analyzing GitHub profiles and matching them with relevant 'good first issues' and beginner-friendly repositories. Provides comprehensive contribution tooling including repository health scoring, setup difficulty assessment, impact estimation, and automated PR planning.
      22
      22 PyPI
      37
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to audit git diffs, scan for leaked secrets and unsafe APIs, detect breaking changes, triage issues, generate changelogs, and assess repository hygiene through native stdio JSON-RPC tools.
      4
      Apache 2.0

    TDQS

    A3.5/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct stage of the contribution workflow (find, policy, brief, setup, diagnose, claim, tone, check, review). Overlaps like check-vs-review and claim-vs-tone are resolved by the descriptions, which clearly bound one to pre-submit local work and the other to open PRs, and one to drafting versus checking text.

    Naming Consistency5/5

    Every tool follows the identical contribos_verb pattern with a single lowercase word (policy, brief, setup, diagnose, check, review, claim, tone, find). No deviations in casing or verb style.

    Tool Count5/5

    Nine tools is well within the ideal 3-15 range and each maps to a discrete workflow step with no filler. The count feels deliberately scoped to the contribution lifecycle rather than padded.

    Completeness4/5

    The surface covers discovery, repo-policy intake, briefing, setup, diagnostics, claiming, tone, pre-submit review, and PR review commentary. Deliberately omits automated posting (human stays in the loop), leaving only minor gaps such as a way to locate repos or matching to review history.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive