auto-review-loop-minimax

auto-review-loop-minimax is an open-source data skill for Codex, published by wanshuiyin. Its author describes it as: “Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".”. 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-minimax`.

What auto-review-loop-minimax does

> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** Like > `/auto-review-loop`, it already loops internally (review → fix → re-review), > feeding each round's prior-round summary into the next review prompt (the > backend is a stateless per-round API call, not a shared thread). An external > timer re-enters from the top each tick, dropping that accumulated context and > firing the verdict on wall-clock time instead of on artifact change — zero > new signal, full token cost. Schedule the *external wait that precedes it*, > not the verdict. See > `shared-references/external…

Installation

Add auto-review-loop-minimax to your agent with:

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

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-minimax is organised into these sections:

• Context: $ARGUMENTS
• Constants
• API Configuration
• Method 1: MCP Tool (Primary)
• Method 2: curl (Fallback)
• State Persistence (Compact Recovery)
• Workflow
• Initialization
• Loop (repeat up to MAXROUNDS)
• Termination
• Key Rules
• Prompt Template for Round 2+

When to use it

Reach for auto-review-loop-minimax 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
• Actively maintained (recent commits)

Topics

Frequently asked questions

What does auto-review-loop-minimax do?

Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".

How do I install auto-review-loop-minimax?

Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop-minimax 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-minimax free to use?

Yes. auto-review-loop-minimax 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-minimax work with?

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

Where does auto-review-loop-minimax come from?

auto-review-loop-minimax 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.