Runs an autonomous review loop where an external LLM (via OpenAI-compatible API) critiques your research, you implement fixes, then it re-reviews up to four rounds until it scores 6/10 or higher with a "ready" or "almost" verdict. Works with DeepSeek, OpenAI, MiniMax, Kimi, and other compatible providers through the llm-chat MCP server. The skill already loops internally, so the documentation explicitly warns against wrapping it in /loop or cron schedules since that would waste tokens by dropping accumulated context on each tick. Every round gets logged to AUTO_REVIEW.md with the full raw reviewer response preserved in a collapsible detail block, and state persists to REVIEW_STATE.json for crash recovery. Useful when you want honest external feedback without manually running the review-fix cycle yourself.
npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill auto-review-loop-llm --agent claude-codeInstalls into .claude/skills of the current project.
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