skills.rest
czh-ee-2023
czh-ee-2023COMMUNITY
Explore all skills by this author →
WebsiteGitHub

auto-review-loop-llm

Automate iterative research review and fix cycles via OpenAI-compatible LLM APIs.

Updated Jun 7, 2026
Search Tags:#research automation#research review#iterative feedback#autonomous review#OpenAI LLM
One-click install
npx skills add https://github.com/czh-ee-2023/zotero-aris --skill auto-review-loop-llm-czh-ee-2023
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-review-loop-llm
Source: https://github.com/czh-ee-2023/zotero-aris/tree/main/.claude/skills/auto-review-loop-llm
Command: npx skills add https://github.com/czh-ee-2023/zotero-aris --skill auto-review-loop-llm-czh-ee-2023

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, llm-chat, mcp-servers, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the research review process using any OpenAI-compatible LLM API, simplifying the iterative process of review, fixing, and re-review.

Core Features & Use Cases

  • Automated Review Loop: Iteratively reviews research, applies fixes, and re-reviews until a positive assessment or maximum rounds are reached.
  • LLM Integration: Supports OpenAI-compatible APIs for external review via the llm-chat MCP server.
  • Use Case: Ideal for researchers and reviewers looking to streamline the review process and incorporate external expertise efficiently.

Quick Start

Start the automated review loop for a given topic or scope by typing 'auto review loop llm' or 'llm review' followed by your topic or scope.

Frequently Asked Questions about auto-review-loop-llm

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

FAQPage Schema
How do I automate the iterative research review process using LLMs?▼

Automating iterative research review involves configuring an OpenAI-compatible LLM API to perform review, apply fixes, and re-review until positive assessment or maximum rounds are reached. This Skill automates that exact loop natively.

Can I use DeepSeek or Kimi APIs for autonomous research review?▼

Yes, autonomous research review works with DeepSeek, Kimi, ZhiPu, SiliconFlow, MiniMax, OpenAI, 阿里云百炼, and 零一万物 APIs. It leverages the llm-chat MCP server to integrate any OpenAI-compatible endpoint.

What is the best way to set up an automated LLM review loop?▼

The best way to set up an automated LLM review loop is using Python with the llm-chat MCP server. You define the research scope, and the system iteratively reviews and implements fixes until passing or hitting maximum rounds.

Does this automated review loop stop if the LLM never gives a positive assessment?▼

Yes, the automated review loop stops if it reaches the configured maximum rounds without a positive assessment. This constraint prevents infinite loops during iterative feedback and fixing cycles.

How do I start an automated review loop for a specific research topic?▼

To start an automated review loop for a specific topic, type 'auto review loop llm' or 'llm review' followed by your research scope. The system then begins the iterative review and fix process automatically.

Related Skills

Explore More Education & Research Skills→
TabithaFannyTabithaFanny

auto-review-loop-llm

Automate iterative research paper reviews using OpenAI-compatible LLM APIs.

Community
Advanced
ShinyGuaShinyGua

ar-pdf-exporter

Convert Markdown manuscripts into PDF and DOCX exports.

Community
Intermediate
wanshuiyinwanshuiyin
14.4k

auto-review-loop-llm

Automate iterative research review loops using an OpenAI-compatible LLM API.

Community
Advanced
LetPeopleWorkLetPeopleWork
16

code-review-checklist

Evaluate code plans and implementations against structured review criteria with severity levels.

Official
Basic