Individual skill
auto-review-loop-minimax
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
skills/auto-review-loop-minimax/SKILL.md
Source commit 2901234ad2954cd2388ced8d3aed2ed9de42803a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
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- Observed behavior
- Not checked yet
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 19,083
- Repository last updated
- Nov 11, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-research Repository topic
- autonomous-agent Repository topic
- claude-code Repository topic
- codex Repository topic
- mcp Repository topic
- ml-research Repository topic
- paper-review Repository topic
- research-automation Repository topic
- ai-tools Repository topic
- claude Repository topic
- research Derived category
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# Auto Review Loop (MiniMax Version): Autonomous Research Improvement
> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** Like
> `/auto-review-loop`, it already loops internally (review → fix → re-review),
> feeding each round's prior-round summary into the next review prompt (the
> backend is a stateless per-round API call, not a shared thread). An external
> timer re-enters from the top each tick, dropping that accumulated context and
> firing the verdict on wall-clock time instead of on artifact change — zero
> new signal, full token cost. Schedule the *external wait that precedes it*,
> not the verdict. See
> [`shared-references/external-cadence.md`](../shared-references/external-cadence.md).
Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached.
