Summary
Runs autonomous research paper improvement cycles by calling MiniMax's API for external reviews, then implementing the suggested fixes until you hit a 6/10 score with a "ready" or "almost" verdict, or max out at 4 rounds. Built specifically because Codex MCP doesn't support OpenAI's Responses API with third-party providers. It persists state to JSON after each round so context compaction won't kill your loop, and it's smart enough to resume from where it left off if interrupted. Falls back to curl if the MiniMax MCP tool isn't available. The skill already loops internally, so wrapping it in another loop just burns tokens on redundant reviews without new signal.
Install to Claude Code
npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill auto-review-loop-minimax --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →First SeenJun 3, 2026
