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 las7 · Agent Tool · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TakoVM safe to install? View the security audit →
Run untrusted Python safely. Job queues and Docker isolation built-in. Used by enterprises. English | 日本語 Run AI-generated code in isolated Docker containers with optional gVisor sandboxing. Job queues, retries, and execution history included. Documentation · Quick Start · API Reference bash Install (requires Docker + Python 3.10+) pip install "tako-vm[server]" tako-vm setup # pull the executor Docker image tako-vm server
| Stars | 65 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.9432159038816/100 |
| Open Issues | 17 |
| Last Updated | 2026-06-20 |
| Created | 2026-01-25 |
| Platforms | python |
| Est. Tokens | ~14k |
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TakoVM is A secure file system for your agents to execute code. It is categorized as a Agent Tool with 65 GitHub stars.
TakoVM is primarily written in Python. It covers topics such as agent-tools, agentic-ai, ai.
You can find installation instructions and usage details in the TakoVM GitHub repository at github.com/las7/TakoVM. The project has 65 stars and 10 forks, indicating an active community.
TakoVM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to TakoVM on Agent Skills Hub include TakoVM, ai-agent-tools-catalog, zapcode. 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: