Query, monitor, and manage Unraid servers via GraphQL API through MCP tools. Supports system info, Docker, VMs, array/parity, notifications, plugins, rclone, and live telemetry.
auto-review-loop-llm
auto-review-loop-llm is an open-source backend skill for Claude Code and compatible agents, published by wanshuiyin. Its author describes it as: “Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm 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-llm`.
What auto-review-loop-llm 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/MCP 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/exte…
Installation
Add auto-review-loop-llm to your agent with:
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop-llmAlways 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-llm is organised into these sections:
- Context: $ARGUMENTS
- Constants
- LLM Configuration
- Configuration via MCP Server (Recommended)
- Supported Providers
- API Call Method
- State Persistence (Compact Recovery)
- Workflow
- Initialization
- Loop (up to MAXROUNDS)
- Termination
- Key Rules
When to use it
Reach for auto-review-loop-llm when you want backend help from your agent 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
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does auto-review-loop-llm do?
- Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
- How do I install auto-review-loop-llm?
- Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/auto-review-loop-llm 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-llm free to use?
- Yes. auto-review-loop-llm is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does auto-review-loop-llm come from?
- auto-review-loop-llm 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.
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