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Adversarial Review
ASecurityFresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
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- Added May 29, 2026
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[](https://www.skillsdirectory.com/skills/a5c-ai-adversarial-review)---
name: adversarial-review
description: Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion
---
# 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)
Files in this skill
- README.md
- SKILL.md
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