# Adversarial Review

> Adversarial Review

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

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# Adversarial Review

1. Skip this step entirely if a reviewer agent was already named — by the user, or in the instruction that launched you (e.g. from `polygraph session review --adversarial`); in that case use that agent and do not ask. Otherwise, **pick the agent**: Ask which should review—`claude`, `codex`, or `opencode` for `spawn_agent`'s `agent` parameter. If the user names a model, pass it via `spawn_agent`'s optional `model` parameter; don't ask about models.
2. **Get the session description.**
3. **Get each repo's plan.**
4. **Delegate one reviewer per repo** in parallel, `role: "reviewer"`. Ask to review, identify issues. Do the delegation even for the "initiator" repo.
5. **Summarize and attach.** Consolidate reviews into one consolidated Markdown review with per-repo sections and present it to the user. Then call `upload_artifact` once with `sessionId`, that review as `content`, `kind: "review"`, `format: "markdown"`, name `adversarial-review-YYYY-MM-DDTHH-mm-ssZ.md`. If the upload fails, report that separately without suppressing the review.
6. **Ask what next.** Address feedback or continue. Skip if the user already said.
7. If the user selects "address the feedback", pass each repo's feedback to the repo default agent (not the reviewer). The initiator should fix things itself without delegating.