Execute agent code in isolated sandboxes across Linux, macOS, and Kubernetes.
npx skills add https://github.com/project-ax/ax --skill provider-sandbox
Please help me install this Agent Skill. Skill: provider-sandbox Source: https://github.com/project-ax/ax/tree/main/.claude/skills/ax/provider-sandbox Command: npx skills add https://github.com/project-ax/ax --skill provider-sandbox
This Skill provides robust isolation for agent execution, ensuring security and resource management by leveraging various sandboxing technologies.
Use the provider-sandbox skill to spawn a new process with the command 'ls -l /workspace' inside a Docker container.
High-intent search queries and answers about installing and using this skill.
To securely execute untrusted agent code in an isolated Docker container, use sandboxing technologies that enforce process isolation, zero network access, and read-only mounts for workspaces while managing lifecycles with configurable timeouts and memory limits.
The best way to isolate agent execution on Kubernetes is by deploying pods that integrate with NATS for communication, enforcing security invariants like zero network access and read-only mounts while applying configurable memory and CPU limits.
Yes, you can use native OS sandboxing tools like nsjail, bwrap, or seatbelt for agent process isolation across Linux and macOS, ensuring secure execution environments with strict resource and network controls.
You enforce zero network access and read-only mounts for a safe agent workflow by configuring the sandbox environment's security invariants, which prevent untrusted code from compromising the system during execution.
Yes, sandbox isolation supports configurable timeouts and memory limits for agent processes, allowing you to manage process lifecycles and enforce strict resource control across Linux, macOS, and Kubernetes environments.
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