Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by CelestoAI · Codex Skill · ★ 915
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SmolVM safe to install? View the security audit →
SmolVM Secure, isolated computers that AI agents can use to browse, run code, and get real work done. Quick start • Examples • Features • Performance • Docs • Community Slack SmolVM gives AI agents their own disposable computer. Each microVM boots in milliseconds, runs any code or software you throw at it, persists files and state across sessions, and disappears when you're done — ready to handle thousands of sandboxes in production. <img src="https://api.iconify.design/lucide/zap.svg?color=%236e7681" width="24" height="24"
| Stars | 915 |
| Forks | 73 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.8272236139831/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-14 |
| Created | 2026-02-15 |
| Platforms | browser, python |
| Est. Tokens | ~17k |
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SmolVM is Secure and persistent computer for AI agents -- built for long-running agents, build your own Grokbot, and Muse.. It is categorized as a Codex Skill with 915 GitHub stars.
SmolVM is primarily written in Python. It covers topics such as agent-runtime, browser-agent, browser-use.
You can find installation instructions and usage details in the SmolVM GitHub repository at github.com/CelestoAI/SmolVM. The project has 915 stars and 73 forks, indicating an active community.
SmolVM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to SmolVM on Agent Skills Hub include clawless, TuriX-CUA, open-cowork. 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: