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 MemTensor · Agent Tool · ★ 302
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills-vote safe to install? View the security audit →
SkillsVote Lifecycle Governance of Agent Skills: From Collection and Recommendation to Evolution Route skills just in time, learn from task execution, and evolve reusable skill libraries through attribution-grounded feedback. Powered by MemTensor <img src=
| Stars | 302 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.0212816955678/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-05 |
| Created | 2026-04-03 |
| Platforms | python |
| Est. Tokens | ~15k |
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skills-vote is SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution. It is categorized as a Agent Tool with 302 GitHub stars.
skills-vote is primarily written in Python. It covers topics such as agent-skill, agent-skills, llm.
You can find installation instructions and usage details in the skills-vote GitHub repository at github.com/MemTensor/skills-vote. The project has 302 stars and 17 forks, indicating an active community.
skills-vote is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills-vote on Agent Skills Hub include agent-skills, AgentChat, wcgw. 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: