auto-review-loop-minimax

Automate multi-round research review loops using the MiniMax API.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/caw111/2026-SoftwareCup --skill auto-review-loop-minimax-caw111
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-review-loop-minimax
Source: https://github.com/caw111/2026-SoftwareCup/tree/main/.agents/skills/auto-review-loop-minimax
Command: npx skills add https://github.com/caw111/2026-SoftwareCup --skill auto-review-loop-minimax-caw111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires MiniMax API, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of multi-round research review loops using the MiniMax API, streamlining the feedback and improvement process for research work.

Core Features & Use Cases

  • Automated Review Loop: Iteratively reviews, implements fixes, and re-reviews research work until a positive assessment is given or the maximum number of rounds is reached.
  • MiniMax API Integration: Uses the MiniMax API for external review, supporting both MCP Tool and curl methods for feedback.
  • State Persistence: Saves and recovers state across long-running review loops to ensure continuity and prevent data loss.
  • Documentation and Reporting: Provides comprehensive documentation of each review round, including assessments, actions taken, and results.
  • Use Case: Ideal for researchers who want to automate the review process of their work, especially when using the MiniMax API for external review.

Quick Start

Trigger the auto-review loop using the command: auto review loop minimax

Frequently Asked Questions about auto-review-loop-minimax

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-round research review loops with the MiniMax API?

To automate research review loops, trigger the process and the system will iteratively review, implement fixes, and re-review your work using the MiniMax API until a positive assessment is reached or the maximum rounds are met.

Do I need an API key to run automated research review loops?

Yes, you need MiniMax API access to run automated research review loops, as the external review and feedback retrieval depend entirely on connecting to the MiniMax API service.

Can I use curl to retrieve feedback during the automated review process?

Yes, you can retrieve feedback using curl, as the automated review process supports both MCP Tool and curl methods for fetching assessments from the MiniMax API.

How does state persistence handle long-running research review loops?

State persistence saves and recovers your progress across long-running review loops, ensuring continuity and preventing data loss if the automated research review process is interrupted.

What happens when a research review loop reaches the maximum number of rounds?

When the maximum number of rounds is reached, the automated review loop terminates, regardless of whether a positive assessment has been given for the research work.

Does the automated workflow provide documentation for each research review round?

Yes, the automated workflow provides comprehensive documentation for each review round, recording assessments, actions taken, and results to track the iterative research improvement process.