Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ryderme/skill-managerTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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.
| Stars | 56 |
| Forks | 9 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 62/100 |
| Last Updated | 2026-03-19 |
| Created | 2026-03-18 |
| Platforms | node |
| Est. Tokens | ~14k |
⚡ Skill Manager 中文文档 A web-based dashboard for managing AI coding tool skills via symlinks. Supports Claude Code, Codex, Cursor, OpenClaw and any other tool that loads skills from a directory. What is this? AI coding tools like Claude Code load "skills" (slash commands, agents, workflows) by scanning a local directory for folders containing a file.
Looking for a skill-manager alternative? If you're comparing skill-manager with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
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: