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/skills-codex/auto-review-loop-minimax/SKILL.md
Source commit 2901234ad2954cd2388ced8d3aed2ed9de42803a
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 8, 2026
- License
- MIT
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- 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
Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached.
## Context: $ARGUMENTS
## Constants
- MAX_ROUNDS = 4
- POSITIVE_THRESHOLD: score >= 6/10 AND verdict ∈ {"ready", "almost"} — both must hold, matching the operative STOP CONDITION below. Verdict vocabulary is {"ready", "almost", "not ready"}. (Earlier wording used "or" + a stale verdict set; the AND form is authoritative.)
- REVIEW_DOC: `review-stage/AUTO_REVIEW.md` (cumulative log) *(fall back to `./AUTO_REVIEW.md` for legacy projects)*
- REVIEWER_MODEL = `MiniMax-M3` — Model used via MiniMax API
## API Configuration