Individual skill
deeprefine
Agent-native DeepRefine refinement loop — same control flow as DeepRefine.refine(), graphify search instead of FAISS, session LLM, dry-run review before approved graph writes.
skills/deeprefine/SKILL.md
Source commit 9b17e7c086af8fd30b023868b1e96ae3295b8f04
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
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- Repository last updated
- Aug 23, 2026
- License
- MIT
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- agent-skills Repository topic
- knowledge-base Repository topic
- llm-wiki Repository topic
- engineering Derived category
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# DeepRefine — Agent refinement loop (strict)
## Default safety policy: dry-run only
A normal `/deeprefine` invocation **MUST NEVER** call `deeprefine apply`.
The default `/deeprefine` workflow must stop after:
1. `deeprefine loop validate`
2. `deeprefine review`
3. showing the proposed actions and HIGH/MEDIUM/LOW review report to the user
Then ask the user for explicit approval.
