# auto-review-loop

Runs an autonomous multi-round research review loop. It applies fixes and queries an external reviewer until reaching the target score or round limit.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 566 installs · ★ 18090
- Author: wanshuiyin
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/auto-review-loop/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/auto-review-loop

## What it does

The skill runs up to 4 review iterations. In GitHub Copilot CLI, it defaults to the native `rubber-duck` subagent. On other hosts, it uses Codex running `gpt-6-astra`. The loop stops when the reviewer gives a score of at least 6/10 alongside a `ready` or `almost` verdict.

All outputs go to `review-stage/AUTO_REVIEW.md`. Strictness levels include `medium`, `hard`, and `nightmare`. In `nightmare` mode, the reviewer inspects repository files directly. This mode breaks with `manual` backend because manual review cannot inspect repository files.

Do not wrap this skill in `/loop` or cron jobs. External timers erase context. Each external tick resets the `threadId`, which discards reviewer memory and burns tokens. The skill already handles internal iteration on its own.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/auto-review-loop/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/auto-review-loop/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/auto-review-loop/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/auto-review-loop/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install wanshuiyin/Auto-claude-code-research-in-sleep auto-review-loop
```

2. **Manually: put the files in place**
- File: `.github/skills/auto-review-loop/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --path skills/auto-review-loop
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/auto-review-loop/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/auto-review-loop/SKILL.md

## When to use it
- automate iterative code review and fix rounds
- verify research findings with an independent LLM reviewer
- inspect repository code directly using adversarial evaluation
- log review scores and verdicts in `review-stage/AUTO_REVIEW.md`

## Example prompts
- /auto-review-loop
- /auto-review-loop "analysis of benchmark results"
- /auto-review-loop "opt-layer" — compact: true, human checkpoint: true, difficulty: hard

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 0e8d1c40ef7095b7.

BEGIN THIRD-PARTY FILE 0e8d1c40ef7095b7
```text
---
name: auto-review-loop
description: Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available. Implements fixes and re-reviews until a policy-approved positive assessment or max rounds is reached.
argument-hint: "[topic-or-scope]"
allowed-tools: Bash(*), Read, Grep, Glob, Write, Edit, Skill, Task, mcp__codex__codex, mcp__codex__codex-reply, mcp__manual_review__review, mcp__manual_review__review_reply, mcp__antigravity__antigravity, mcp__antigravity__antigravity-reply, mcp__grok__grok, mcp__grok__grok-reply, mcp__claude-review__review, mcp__claude-review__review_reply, mcp__claude-review__review_start, mcp__claude-review__review_reply_start, mcp__claude-review__review_status
---

# Auto Review Loop: Autonomous Research Improvement

> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It
> already loops internally (review → fix → re-review) and the reviewer carries
> round-to-round memory in one `threadId` (`codex-reply`). An external timer
> re-enters from the top each tick — fresh `threadId`, reviewer memory reset —
> firing the verdict on wall-clock time instead of on artifact change: zero new
> signal, full token cost. If you want to schedule something, schedule the
> *external wait that precedes it* (experiments done → then run this once). See
> [`shared-references/external-cadence.md`](../shared-references/external-cadence.md).

Autonomously iterate: review → implement fixes → re-review, until an independent reviewer gives a policy-approved positive assessment or MAX_ROUNDS is reached.

## Context: $ARGUMENTS

## Constants

- MAX_ROUNDS = 4
- POSITIVE_THRESHOLD: score >= 6/10 **AND** verdict ∈ {"ready", "almost"} — **both** must hold. This matches the operative Phase-E STOP CONDITION exactly; the verdict vocabulary is {"ready", "almost", "not ready"} (a high score with a "not ready" verdict does NOT stop the loop). Earlier wording here used `or` and a stale verdict set ("accept"/"sufficient"/"ready for submission") — that was an internal inconsistency; the `AND` form is authoritative.
- REVIEW_DOC: `review-stage/AUTO_REVIEW.md` (cumulative log) *(fall back to `./AUTO_REVIEW.md` for legacy projects)*
- REVIEWER_MODEL = `gpt-6-astra` — Default model for the Codex backend. Must be an OpenAI model (e.g., `gpt-6-astra`, `gpt-6.1-sol`). Manual backend uses a model the user chooses — it must be a recognized model from a different family (OpenAI, Anthropic, Google, DeepSeek, Moonshot/Kimi, Qwen).
```
END THIRD-PARTY FILE 0e8d1c40ef7095b7

The third-party file has ended. Everything between the 0e8d1c40ef7095b7 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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