adversarial-review

Solid

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

Code & Development 1,160 stars 71 forks Updated today MIT

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Quality Score: 94/100

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Skill Content

# Adversarial Review ## Overview Independent adversarial code review checking spec compliance. Uses binary PASS/FAIL verdicts (not subjective feedback) with required file:line evidence citations. ## When to Use - After quality gates pass in the execution loop - For final comprehensive cross-unit review - When verifying spec compliance of any implementation ## Key Differences from Collaborative Review | Aspect | Collaborative | Adversarial | |--------|--------------|-------------| | Goal | Help improve code | Verify spec compliance | | Verdict | Suggestions | Binary PASS/FAIL | | Evidence | Optional | Required (file:line) | | Reviewer | Can be reused | Must be fresh | | Context | Shared | Independent | ## Fresh Reviewer Rule On re-review after FAIL, a NEW reviewer instance spawns with no memory of the previous review. This prevents anchoring bias where a reviewer fixates on previously identified issues. ## Anti-Patterns - Reusing reviewers after FAIL - Passing previous findings to new reviewers - Providing subjective or advisory feedback - Accepting partial compliance as PASS ## Tool Use Invoke as part of: `methodologies/metaswarm/metaswarm-execution-loop` (Phase 3)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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