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skill
codereviewqa-eval
ANo problem foundqhjqhj00/research-skills-pool
This benchmark probes large language models' ability to comprehend implicit code review intent by decomposing the task into change type recognition, change localization, and solution identification. It uses multiple-choice questions to evaluate whether models can accurately interpret pre-change code and reviewer comments without relying on surface-level code generation. Use when the user wants to benchmark on CodeReviewQA, or asks about evaluating this task. Reports accuracy.
codereviewqa-eval got grade A on our automated scan on 2026-10-18.
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Related
Run all code generation (protobuf, sqlc, frontend build)
name: ship description: Release protocol: pre-flight checks, changelog, semantic version, tag, deploy. disable-model-invocation: true
name: init description: Bootstrap the .resonance/ project memory (soul, state, docs scaffold). Run once per new project. disable-model-invocation: true
name: goal description: The autonomous goal loop: frame, decompose, then build and verify each slice against real checks, bounded, never auto-ship. disable-model-invocation: true