auto-review-loop

auto-review-loop is an open-source data skill for Codex and GitHub Copilot, published by wanshuiyin. Its author describes it as: “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 overri…”. The project has 15k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop`.

What auto-review-loop does

> 🔒 **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`.

Installation

Add auto-review-loop to your agent with:

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for auto-review-loop is organised into these sections:

• Context: $ARGUMENTS
• Constants
• Reviewer Calling Convention
• State Persistence (Compact Recovery)
• Append-Only External-Finalizer Receipt
• Output Protocols
• Workflow
• Initialization
• Loop (repeat up to MAXROUNDS)
• Termination
• Key Rules
• Prompt Template for Round 2+

When to use it

Reach for auto-review-loop when you want data help from Codex without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

• Clear MIT license — safe to read and adapt
• Ships in wanshuiyin/Auto-claude-code-research-in-sleep, an established project with 14,858 GitHub stars
• Declares compatibility with Codex, GitHub Copilot
• Actively maintained (recent commits)

Topics

Frequently asked questions

What does auto-review-loop do?

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.

How do I install auto-review-loop?

Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop in your agent, then reload your skills. Review the source at https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep before installing.

Is auto-review-loop free to use?

Yes. auto-review-loop is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.

Which agents does auto-review-loop work with?

auto-review-loop declares compatibility with Codex and GitHub Copilot. Agent Skills use a portable SKILL.md format, so other compatible clients can usually load it too.

Where does auto-review-loop come from?

auto-review-loop ships inside wanshuiyin/Auto-claude-code-research-in-sleep, a repository that contains 41 catalogued skills in total. The repository's 14,858 GitHub stars apply to that whole collection, not to this skill on its own.