codex

ReviewOps Auditor + Benchmark

Normalize, validate, benchmark, and recommend from declared local review-run evidence offline.

21 on GitHubby Tony Loehrv0.1.0Apache-2.0updated 2 days agoDeveloper Tools

Plugin reviewops-auditor-benchmark in openai/community-plugins. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (4)

  • audit-review-eval-validity

    Audit whether a declared local review evaluation can support fair quality claims. Use only when the user explicitly asks to audit review-eval validity or use the bundled synthetic fixture.

  • benchmark-review-configs

    Deterministically score comparable imported review-run lanes with root-cause metrics and uncertainty. Use only when the user explicitly asks to benchmark normalized local review runs or use the bundled synthetic fixture.

  • normalize-review-runs

    Validate and normalize declared local review-run exports into a bounded canonical summary. Use only when the user explicitly asks to normalize review runs or use the bundled synthetic fixture.

  • recommend-review-reference-architecture

    Recommend a conservative shadow-only review reference architecture from valid offline evidence. Use only when the user explicitly asks for a reference-architecture recommendation or uses the bundled synthetic fixture.

View source on GitHub

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