Individual skill
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
skills/auto-review-loop-llm/SKILL.md
Source commit 2901234ad2954cd2388ced8d3aed2ed9de42803a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 18,981
- Repository last updated
- Nov 8, 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 (Generic LLM): 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/MCP 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.
