# Review Me

> Multi-angle adversarial review of any artifact (spec, plan, ADR, or implementation). Use when the user wants a review, approval check, sign-off, or readiness assessment.

- **Type:** Skill
- **Install:** `agentstack add skill-shinewinew-lucideye-review-me`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ShinewineW](https://agentstack.voostack.com/s/shinewinew)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ShinewineW](https://github.com/ShinewineW)
- **Source:** https://github.com/ShinewineW/lucideye/tree/main/skills/review-me

## Install

```sh
agentstack add skill-shinewinew-lucideye-review-me
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

Review this artifact from multiple adversarial angles of your choosing — pick the lenses that matter most for THIS document.

SPEC mode: interrogate goals, boundaries, trade-offs, missing decisions.
IMPL mode: interrogate mutations, migrations, error paths, observability.

Each angle must surface at least one finding — "no issues" means you haven't looked hard enough. When multiple angles flag the same issue, promote its severity. Do not ask questions; derive from context.

End with:
1. **Findings** by angle, tagged [BLOCKER / CONCERN / NOTE]
2. **Clash** — where angles disagree
3. **Verdict**: approve | approve-with-conditions | request-changes | reject-for-now
4. If approving: the single biggest risk you're accepting.

## Enhanced Review

For high-stakes artifacts or reviews that warrant additional scrutiny:

- Read `references/dual-review.md` and apply independent dual review, a both-pass verdict gate, fresh-reviewer fix cycles, and bounded batch sampling where appropriate.
- Read `references/review-orchestration.md` and classify findings through RECONCILE, stop after a bounded review loop, and offer the documented cross-model escalation protocol when appropriate.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ShinewineW](https://github.com/ShinewineW)
- **Source:** [ShinewineW/lucideye](https://github.com/ShinewineW/lucideye)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-shinewinew-lucideye-review-me
- Seller: https://agentstack.voostack.com/s/shinewinew
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.