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 CreminiAI · Agent Tool · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillpack safe to install? View the security audit →
SkillPack — Pack and deploy local AI agents for your team in minutes Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from Slack and Telegram. Our vision is to achieve distributed intelligence network, much like cremini mushrooms that grow from a vast, interconnected mycelial network. What is SkillPack skillpack.sh is an open-source way to package AI skills into runnable local agents. If skills and tools are like LEGO pieces, a SkillPack is the finished product that assembles them into a complete solution. Instead of juggling prompts, scripts, docs, and one-off automations, Skillpack gives you a simple way to: package AI skills into reusable agents run them locally keep sensitive data in your own environment use agents from tools your team already uses, like Slack and Telegram Skillpack is built for teams that want AI Agents to be deployable, trusted, and easy to use.
| Stars | 1,197 |
| Forks | 110 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.4052307552059/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-13 |
| Created | 2026-03-15 |
| Platforms | node |
| Est. Tokens | ~15k |
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skillpack is Pack and deploy local AI agents for your team in minutes. It is categorized as a Agent Tool with 1.2k GitHub stars.
skillpack is primarily written in TypeScript. It covers topics such as agent, agent-skills, agentic.
You can find installation instructions and usage details in the skillpack GitHub repository at github.com/CreminiAI/skillpack. The project has 1.2k stars and 110 forks, indicating an active community.
skillpack is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillpack on Agent Skills Hub include nexent, solace-agent-mesh, metorial. 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: