auto-review-loop

Automating the research paper review process involves running an autonomous multi-round loop that scores strengths and weaknesses, proposes fixes, and re-evaluates until readiness. You can trigger this by specifying a topic or scope to start the iterative evaluation.

An autonomous iterative review loop is a process that applies multi-round evaluations to research artifacts, code, and documentation. It repeatedly reviews and fixes content until a positive assessment or a configured maximum number of rounds is reached.

Yes, you can configure the maximum rounds and scoring thresholds for code review. The workflow supports configurable MAX_ROUNDS, acceptance thresholds, and reviewer backend settings to adapt to diverse research and documentation projects.

Yes, the autonomous review loop supports optional human checkpoints during evaluation. While it automates round progression using Codex MCP, you can insert manual reviews to verify fixes before proceeding to the next iteration.

The best way to prepare documentation for an automated review loop is to define the topic scope clearly. The Skill evaluates research papers, code, and documentation, applying iterative fixes until it meets the configured scoring threshold or maximum rounds.

If an artifact does not pass review after reaching the maximum rounds, the autonomous loop terminates. The workflow is designed to converge on a submission-ready state, and hitting the MAX_ROUNDS limit prevents infinite evaluation cycles.