# Auto Review Loop Minimax

Autonomous multi-round research review loop using MiniMax API.

- Repository: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep (18443 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-minimax -g -a claude-code -y`
Codex: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-minimax -g -a codex -y`
Cursor: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-minimax -g -a cursor -y`
Gemini CLI: `npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-minimax -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep`

## Description

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".

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Auto Review Loop (MiniMax Version): Autonomous Research Improvement

> 🔒 **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-cadence.md`](../shared-references/external-cadence.md).

Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a 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, matching the operative STOP CONDITION below. Verdict vocabulary is {"ready", "almost", "not ready"}. (Earlier wording used `or` and a stale verdict set; 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 = `MiniMax-M3`, Model used via MiniMax API

## API Configuration

This skill uses MiniMax API for external review. Two methods are supported:

### Method 1: MCP Tool (Primary)

If `mcp__minimax-chat__minimax_chat` is available, use it:

```
mcp__minimax-chat__minimax_chat:
  prompt: |
    [Review prompt content]
  model: "MiniMax-M3"
  system: "You are a senior machine learning researcher..."
```

### Method 2: curl (Fallback)

If MCP is not available, use curl directly:

The rest: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/HEAD/skills/auto-review-loop-minimax/SKILL.md