by wanghuan9 · MCP Server · ★ 585
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, and other AI coding tools. Install, organize, edit, sync, and update Skills, MCP servers, and plugins with real-directory scanning and Git-aware Diff previews. AI Skill Manager / Skill 管理软件 / MCP 管理工具.
| Stars | 585 |
| Forks | 25 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 55.3027763356155/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-08 |
| Created | 2026-05-13 |
| Platforms | claude-code, cli, codex, gemini, mcp, rust |
| Est. Tokens | ~22k |
These tools work well together with skilldock for enhanced workflows:
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skilldock is SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, and other AI coding tools. Install, organize, edit, sync, and update Skills, MCP. It is categorized as a MCP Server with 585 GitHub stars.
skilldock is primarily written in Rust. It covers topics such as ai-coding-agents, ai-coding-tools, ai-skill-manager.
You can find installation instructions and usage details in the skilldock GitHub repository at github.com/wanghuan9/skilldock. The project has 585 stars and 25 forks, indicating an active community.
skilldock is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skilldock on Agent Skills Hub include awesome-ai-agent-skills, skillfile, skills-hub. 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: