No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by HKUST-KnowComp · Agent Tool · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is DeepRefine-Skill safe to install? View the security audit →
DeepRefine-Skill ██████╗ ███████╗███████╗██████╗ ██████╗ ███████╗███████╗██╗███╗ ██╗███████╗ ██╔══██╗██╔════╝██╔════╝██╔══██╗██╔══██╗██╔════╝██╔════╝██║████╗ ██║██╔════╝ ██║ ██║█████╗ █████╗ ██████╔╝██████╔╝█████╗ █████╗ ██║██╔██╗ ██║█████╗ ██║ ██║██╔══╝ ██╔══╝ ██╔═══╝ ██╔══██╗██╔══╝ ██╔══╝ ██║██║╚██╗██║██╔══╝ ██████╔╝███████╗███████╗██║ ██║ ██║███████╗██║ ██║██║ ╚████║███████╗ ╚═════╝ ╚══════╝╚══════╝╚═╝ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═══╝╚══════╝
| Stars | 92 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.3063434823286/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-23 |
| Created | 2026-06-01 |
| Platforms | python |
| Est. Tokens | ~19k |
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DeepRefine-Skill is An agent skill to evolve the quality of LLM-Wiki (Graphify) at test time.. It is categorized as a Agent Tool with 92 GitHub stars.
DeepRefine-Skill is primarily written in Python. It covers topics such as agent-skills, knowledge-base, knowledge-graph.
You can find installation instructions and usage details in the DeepRefine-Skill GitHub repository at github.com/HKUST-KnowComp/DeepRefine-Skill. The project has 92 stars and 7 forks, indicating an active community.
DeepRefine-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to DeepRefine-Skill on Agent Skills Hub include llm-wiki-skills, llm-wiki, grace-marketplace. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: