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 maxvaega · Agent Tool · ★ 147
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillkit safe to install? View the security audit →
skillkit Enables Anthropic's Agent Skills functionality to any python agent, unleashing LLM-powered agents to autonomously discover and utilize packaged expertise in a token-efficient way. skillkit is compatible with existings skills (SKILL.md), so you can browse and use any skill available on the web Features Fully compatible with existing skills: existing skills can be copied directly, no change needed Framework-free: can be used without any framework, or with other frameworks (currently only compatible with LangChain - more coming in the future!) M
| Stars | 147 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.9716440377431/100 |
| Open Issues | 6 |
| Last Updated | 2026-01-23 |
| Created | 2025-10-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~36k |
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skillkit is Implementing Skills functionality for your agents. It is categorized as a Agent Tool with 147 GitHub stars.
skillkit is primarily written in Python. It covers topics such as agents, ai, anthropic.
You can find installation instructions and usage details in the skillkit GitHub repository at github.com/maxvaega/skillkit. The project has 147 stars and 20 forks, indicating an active community.
skillkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillkit on Agent Skills Hub include flompt, .claude, agents. 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: