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 gotalab · MCP Server · ★ 406
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillport safe to install? View the security audit →
⚓ SkillPort The SkillOps Toolkit for Agent Skills SkillOps = Validate, manage, and deliver skills at scale. Why SkillPort? Fully compatible with the Agent Skills specification. Features Validate Check skills against the Agent Skills specification. Catches missing fields, naming issues, and spec violations before they cause problems. Man
| Stars | 406 |
| Forks | 31 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.0582766720793/100 |
| Open Issues | 6 |
| Last Updated | 2026-06-24 |
| Created | 2025-12-01 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~15k |
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skillport is Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.. It is categorized as a MCP Server with 406 GitHub stars.
skillport is primarily written in Python. It covers topics such as agent-skills, ai-agent, claude.
You can find installation instructions and usage details in the skillport GitHub repository at github.com/gotalab/skillport. The project has 406 stars and 31 forks, indicating an active community.
skillport is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillport on Agent Skills Hub include awesome-ai-agent-skills, awesome-agent-skills, Overture. 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: