by shanliuling · Agent Tool · ★ 197
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Skill Creation & Meta-Tools · Multi-AI Bridge & Cross-IDE Sync
npm i -g skills-link
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
One of 14 tools we ran end to end on the same task for our Skill & Agent Management page (2026-10-09).
Result: Installs from GitHub only, one skill per command; removal is interactive. · Installed a skill with a curl | sh script, showing only its source · removes skills cleanly · +345 tokens per session for 20 skills
| Stars | 197 |
| Forks | 6 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 78/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-14 |
| Created | 2026-04-12 |
| Platforms | claude-code, node |
| Est. Tokens | ~682k |
Skills-Link One skills folder, every AI app. Sync your local across 41+ AI coding agents with a single command. Also supports rules sync: English | 中文 How it works Every app's becomes a symlink pointing to one master directory. Add or edit a skill once — every app sees it instantly. Install Quick start That's it. First run walks you through everything — detect apps, import skills, create links.
These tools work well together with skills-link for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: