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 →
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillserver safe to install? View the security audit →
An MCP/REST server with WebUI serving as a centralized skills database for AI Agents. It manages "Skills" (directory-based with SKILL.md files) stored in a local directory, following the Agent Skills specification. Features MCP Server: Provides tools for AI agents to list, search, read skills, and access skill resources Web Interface: Local web UI for creating, editing, and organizing skills with resource management Git Synchronization: Automatically syncs with Git repositories (skills from repos are read-only) Full-Text Search: Powered by Bleve for fast skill searching Resource Management: Support for scripts, references, and assets directories per skill Agent Skills Spec Compliant: Full support for the Agent Skills specification format Installation From Source Using Docker Configuration SkillServer supports both environment variables and command-line flags. Flags take precedence over environment variables. Environment Variables Descripti
| Stars | 62 |
| Forks | 19 |
| Language | Go |
| Category | AI Tool |
| Quality Score | 67.9675021106206/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-20 |
| Created | 2026-01-24 |
| Platforms | go |
| Est. Tokens | ~18k |
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skillserver is A home for your agents skills. Create, manage, share skills between agents easily.. It is categorized as a AI Tool with 62 GitHub stars.
skillserver is primarily written in Go.
You can find installation instructions and usage details in the skillserver GitHub repository at github.com/mudler/skillserver. The project has 62 stars and 19 forks, indicating an active community.
The top alternatives to skillserver on Agent Skills Hub include redesigned-pancake, claude-code-voice-skill, maui-skills. 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: