What problem does it solve?
When deciding whether a multi-pass focused code review strategy is worth its cost, teams lack hard evidence. This Skill answers one question with data: do dimension-focused codex passes (security, ecto, liveview) find real issues that a single holistic codex exec review misses on the same branch diff?
Core Features & Use Cases
- Parallel A/B Harness: Runs 1 holistic
codex exec review plus 3 focused codex exec workers (security, ecto, liveview) in parallel against the same diff, with all streams redirected to log files.
- Finding Classification: Guides classification of every focused finding as DUPLICATE, REAL MISS, or FALSE POSITIVE, with mandatory code verification at the cited file:line before counting a miss.
- Verdict Persistence: Produces a verdict table written to
.claude/reviews/codex-ab-{date}/VERDICT.md so the experiment outcome is recorded across runs.
- Use Case: Before building a
--codex-panel mode into your review workflow, run this on 2-3 fresh branches to check whether real misses outnumber false positives.
Quick Start
Ask the AI to run the codex A/B experiment on the current fresh branch against main and report the verdict table.