# Adversarial Review

> Cross-model code review. Sends code to a DIFFERENT model (GPT/Gemini) for independent review. Reviewer must be on a different model than the code author. Use for critical PRs and security-sensitive code.

- Skill: `neuron-one/adversarial-review` (Agent Skill)
- Install (CLI): `npx skillmds@latest add neuron-one/adversarial-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/neuron-one/adversarial-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: neuron-one (https://skillmd.com/u/neuron-one)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/neuron-one/adversarial-review

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# Adversarial Cross-Model Review

## Principle
Same model has same blind spots when writing AND reviewing.
Different model catches what the author's model missed.

## Process
1. Identify code changes for review
2. Select DIFFERENT model than what wrote the code
3. Send code + context to external model
4. Collect review findings
5. Compare with internal review
6. Address all unique findings from external model

## Rules
- Reviewer MUST be different model
- Claude wrote code -> GPT reviews (or vice versa)
- Include sufficient context for reviewer
- Don't dismiss external findings without investigation