deeprefine
Codex adapter for the DeepRefine agent-native refinement loop. Use when the user invokes $deeprefine or /deeprefine, or asks to refine, diagnose, review, or apply changes to a Graphify / LLM-Wiki knowledge graph. Must follow the canonical DeepRefine skill rules and stop for review before graph writes.
npx skills add HKUST-KnowComp/DeepRefine-Skill --skill codex_skill --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# DeepRefine - Codex Adapter This file is the Codex-specific entrypoint. It keeps the platform rules small and loads longer DeepRefine procedure details only when needed: - Full workflow, queue selection, refinement branch logic, and review rules: [references/deeprefine-workflow.md](references/deeprefine-workflow.md) - Verbatim judgement, abduction, and refinement prompts: [references/llm-prompts.md](references/llm-prompts.md) - Checklist, command sequence, trace schema, paths, and CLI mode: [references/trace-and-commands.md](references/trace-and-commands.md) Do not reimplement or shorten the algorithm from memory. Load the relevant reference file before executing that part of the workflow. ## Codex Invocation Trigger this skill when the user: - explicitly invokes `$deeprefine` or `/deeprefine`; - asks to refine, improve, diagnose, repair, inspect, or review a Graphify knowledge graph; - asks to apply a previously reviewed DeepRefine refinement. Run from the knowledge-base project root, where `graphify-out/graph.json` exists. If the user is planning or asking how DeepRefine works, explain the workflow and do not mutate files. If `deeprefine` is unavailable, tell the user to install
- Codex Invocation
- Hard Safety Policy
- Mode Selection
- Full workflow
- Review only
- Apply only
- Non-Negotiable Rules
- What to Load From References
pip install deeprefine-cli pip install -e /path/to/DeepRefine-Skill deeprefine apply --trace-file ... --refinement-file ... deeprefine loop finish --trace-file ... --refinement-file ... deeprefine loop validate --trace-file ... --refinement-file ... deeprefine review --trace-file ... --refinement-file ... deeprefine apply --allow-low-confidence --trace-file ... --refinement-file ...
What does the deeprefine skill do?
Codex adapter for the DeepRefine agent-native refinement loop. Use when the user invokes $deeprefine or /deeprefine, or asks to refine, diagnose, review, or apply changes to a Graphify / LLM-Wiki knowledge graph. Must follow the canonical DeepRefine skill rules and stop for review before graph writes.
How do I install it?
Run `npx skills add HKUST-KnowComp/DeepRefine-Skill --skill codex_skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From HKUST-KnowComp/DeepRefine-Skill, a repository with 89 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.