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 runkids · Codex Skill · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillshare safe to install? View the security audit →
skillshare One source of truth for AI CLI skills. Sync everywhere with one command — from personal to organization-wide. Codex, Claude Code, OpenClaw, OpenCode & 50+ more. <img src=".github/assets/demo.gif" alt="sk
| Stars | 2,689 |
| Forks | 167 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.7866238021275/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-23 |
| Created | 2026-01-14 |
| Platforms | claude-code, cli, codex, gemini, go |
| Est. Tokens | ~17k |
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skillshare is 📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more. It is categorized as a Codex Skill with 2.7k GitHub stars.
skillshare is primarily written in Go. It covers topics such as agenthub, ai, claude-code.
You can find installation instructions and usage details in the skillshare GitHub repository at github.com/runkids/skillshare. The project has 2.7k stars and 167 forks, indicating an active community.
skillshare is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillshare on Agent Skills Hub include Unity-MCP, getspecstory, ccmanager. 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: