sandbox
Enables safe execution of untrusted AI-generated code with minimal latency and resource overhead, reducing deployment risk and enabling broader autonomous ag…
Fast cold-boot MicroVM sandboxes for AI agents on cocoon
- Run untrusted code snippets safely without risking your development environment
- Execute multiple isolated test environments simultaneously for faster CI/CD pipelines
- Spin up temporary sandboxed VMs for AI agents to experiment with code safely
Enables safe execution of untrusted AI-generated code with minimal latency and resource overhead, reducing deployment risk and enabling broader autonomous agent use cases in production environments.
Platform teams deploying AI agents or code generation tools requiring isolated, on-demand compute sandboxes.
https://github.com/cocoonstack/sandbox
By cocoonstack
How to Get It
claude plugins install cocoonstack/sandbox
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me run untrusted code snippets safely without risking my development environment
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- QBittorrent breaks out of sandbox to commit crimes — Hacker News · 1355 pts
- Agent Safehouse – macOS-native sandboxing for local agents — Hacker News · 823 pts
- Actively exploited sandbox RCE in all Chromium versions — Hacker News · 805 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 61 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 61 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.