adversarial-review
Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
Datos de origen
- Repositorio
- a5c-ai/babysitter
- Última actividad en el origen
- 1 de junio de 2026 a las 07:46
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 1813
- Forks
- 111
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- 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
- graph
- {"domains":["domain:software-engineering"],"skillAreas":["skill-area:agentic-loops","skill-area:orchestration-loop"],"workflows":["workflow:feature-development"],"topics":["topic:developer-experience"],"roles":["role:tech-lead","role:backend-engineer"]}
- 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)
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