auto-review-loop-minimax
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".
npx skills add majiayu000/claude-skill-registry --skill auto-review-loop-minimax --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Auto Review Loop (MiniMax Version): Autonomous Research Improvement 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, or verdict contains "accept", "sufficient", "ready for submission" - REVIEW_DOC: `review-stage/AUTO_REVIEW.md` (cumulative log) *(fall back to `./AUTO_REVIEW.md` for legacy projects)* - REVIEWER_MODEL = `MiniMax-M2.7` — 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-M2.7" system: "You are a senior machine learning researcher..." ``` ### Method 2: curl (Fallback) If MCP is not available, use curl directly: ```bash curl -s "https://api.minimax.io/v1/chat/completions" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $MINIMAX_API_KEY" \ -d '{ "model": "MiniMax-M2.7", "messages": [ {"role": "system", "content": "You are a
- 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+
- Output Protocols
curl -s "https://api.minimax.io/v1/chat/completions" \
What does the auto-review-loop-minimax skill 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 it?
Run `npx skills add majiayu000/claude-skill-registry --skill auto-review-loop-minimax --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.