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 rohitg00 · Codex Skill · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillkit safe to install? View the security audit →
SkillKit is the open source package manager for AI agent skills. Write a skill once, deploy it to 45 agents — Claude, Cursor, Copilot, Windsurf, Devin, Codex, and 39 more. No rewrites. 400K+ skills across registries. Website · Docs · API Explorer · Chrome Extension · npm https://gith
| Stars | 1,509 |
| Forks | 147 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 71.6543553241917/100 |
| Open Issues | 29 |
| Last Updated | 2026-06-02 |
| Created | 2026-01-20 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~12729k |
These tools work well together with skillkit for enhanced workflows:
Looking for a skillkit alternative? If you're comparing skillkit with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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skillkit is Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more. It is categorized as a Codex Skill with 1.5k GitHub stars.
skillkit is primarily written in TypeScript. It covers topics such as agent-skills, agentskills, ai.
You can find installation instructions and usage details in the skillkit GitHub repository at github.com/rohitg00/skillkit. The project has 1.5k stars and 147 forks, indicating an active community.
skillkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skillkit on Agent Skills Hub include agentsys, agnix, skillshare. 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: