Execute untrusted Python or shell code in an isolated Cube Sandbox.
npx skills add https://github.com/dawsonblock/HERMY --skill cube-sandbox
Please help me install this Agent Skill. Skill: cube-sandbox Source: https://github.com/dawsonblock/HERMY/tree/main/CubeSandbox-master/examples/openclaw-integration/skills/cube-sandbox Command: npx skills add https://github.com/dawsonblock/HERMY --skill cube-sandbox
Cube Sandbox 安全沙箱执行技能提供一个隔离执行环境，用于在不信任代码上执行 Python 代码、Shell 命令，确保主机系统的安全和稳定。
Create a sandbox using Cube Sandbox and run your Python or shell code inside it.
High-intent search queries and answers about installing and using this skill.
You can safely execute untrusted Python code by deploying it inside an isolated Cube Sandbox. This sandbox execution environment prevents side effects to the host system by providing controlled input/output and secure boundaries.
Setting up a Cube Sandbox for shell command execution requires providing an E2B_API_URL, a Template ID, and an API key. You can additionally configure TLS certificates and network policies via environment variables.
Yes, you can apply network policies to restrict internet access during secure code execution. The Cube Sandbox supports configuring complete network disconnection, whitelists, and blacklists to control outbound traffic.
Yes, the sandbox environment supports mounting host directories for localized file access and memory snapshots. You can pause and resume the sandboxed environment using memory snapshots to save and restore execution states.
You should use an isolated sandbox for data processing when running unverified scripts or requiring reproducible environments. It prevents untrusted code from compromising your host system during secure experimentation and testing.
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