auto-review-loop-minimax

Automating multi-round external reviews is achieved by coordinating an autonomous loop where the MiniMax API reviews research outputs, applies fixes, and re-reviews until acceptance. Progress is persisted in REVIEW_STATE.json for traceability.

An autonomous review loop uses the MiniMax API to provide independent, iterative assessments of research proposals. It drives improvements by cycling through review and fix stages until convergence signals are met, reducing manual back-and-forth feedback.

Yes, you can use curl to call the MiniMax API for automated manuscript feedback. The workflow supports flexible execution modes, utilizing the MCP tool when available or falling back to curl-based API requests.

Yes, you need MiniMax API access to run iterative research output reviews. The workflow leverages this external API for independent assessment and requires persistent state via REVIEW_STATE.json to track progress.

You track the progress of an automated MiniMax review cycle using stateful execution. The workflow persists progress in REVIEW_STATE.json and logs detailed round histories in AUTO_REVIEW.md for full traceability.

You should not use an autonomous external review loop when your research outputs require subjective human judgment beyond API assessment, or when you lack persistent state storage for REVIEW_STATE.json and MiniMax API access.