@anthropic-ai/sandbox-runtime
Isolates untrusted code execution in production environments, reducing blast radius from compromised dependencies or malicious inputs while maintaining obser…
Anthropic Sandbox Runtime (ASRT) - A general-purpose tool for wrapping security boundaries around arbitrary processes
- Isolate untrusted code execution from your main application infrastructure safely
- Enforce resource limits on third-party scripts to prevent runaway CPU or memory consumption
- Audit all system calls made by external processes for compliance and security violations
Isolates untrusted code execution in production environments, reducing blast radius from compromised dependencies or malicious inputs while maintaining observability and control over system resources.
Platform teams and DevOps engineers deploying multi-tenant applications or processing untrusted third-party code.
https://www.npmjs.com/package/@anthropic-ai/sandbox-runtime
By dylanc-anthropic
How to Get It
npx @anthropic-ai/sandbox-runtime
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 isolate untrusted code execution from my main application infrastructure safely
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 4,737 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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.
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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): 4,737 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.