Auto Review Loop Minimax

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-code