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 cocoonstack · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sandbox safe to install? View the security audit →
sandbox MicroVM sandboxes for AI agents, built on cocoon: a fast-boot guest stack, an in-guest product daemon, a per-node control plane with warm pools, and SDKs for Go and Python. Warm claims are sub-millisecond; a pool miss clones from a golden snapshot in tens of milliseconds; cold boot is 0.2–0.4 s on bare metal. Cloud Hypervisor serves both network lanes. has no NIC and uses vsock-only I/O (hardened default); attaches a bridge/CNI NIC. Documentation: cocoonstack.github.io/sandbox (deployment, clusters, HTTP API, Go + Python SDK references, the MCP server, the OpenAI Agents SDK and LangChain adapters, silkd protocol, performance) — source in . Layout — in-guest product daemon (Rust, tokio): exec with context, persistent shell sessions, streaming fs, tar-stream tree push/pull, find/replace, watch (ready-acked), pty, structured git, guest port relay (), and an LSP broker for flavor-shipped language servers — newline-JSON frames over vsock 2048, RPCs back to bac
| Stars | 61 |
| Forks | 4 |
| Language | Go |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 65.5646330742229/100 |
| Open Issues | 13 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-02 |
| Platforms | go, mcp |
| Est. Tokens | ~17k |
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sandbox is Fast cold-boot MicroVM sandboxes for AI agents on cocoon. It is categorized as a MCP Server with 61 GitHub stars.
sandbox is primarily written in Go. It covers topics such as ai, ai-agents, fast.
You can find installation instructions and usage details in the sandbox GitHub repository at github.com/cocoonstack/sandbox. The project has 61 stars and 4 forks, indicating an active community.
sandbox is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to sandbox on Agent Skills Hub include runtm, SecGPT, cordium. 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: