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 skrun-dev · MCP Server · ★ 209
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skrun safe to install? View the security audit →
Skrun Deploy any Agent as an API via POST /run. The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure. The open-source alternative to Claude Managed Agents (CMA) and Google's Gemini Enterprise Agent Platform (GEAP) — multi-model, self-hostable, MIT. <img alt="Node" src="https://img.shields.io/badge/Node
| Stars | 209 |
| Forks | 17 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.4630861027561/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-30 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~19k |
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skrun is Deploy any Agent Skill as an API via POST /run. The open-source multi-model alternative to Claude Managed Agents, Microsoft Foundry & Mistral/Koyeb — works with any LLM.. It is categorized as a MCP Server with 209 GitHub stars.
skrun is primarily written in TypeScript. It covers topics such as agent-runtime, agent-skills, ai-agents.
You can find installation instructions and usage details in the skrun GitHub repository at github.com/skrun-dev/skrun. The project has 209 stars and 17 forks, indicating an active community.
skrun is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skrun on Agent Skills Hub include claude-code-open, OmoiOS, swarmclaw. 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: