sandbox0

Guide AI agent developers through Sandbox0 CLI and SDK integration.

74|6|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/sandbox0-ai/sandbox0 --skill sandbox0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sandbox0
Source: https://github.com/sandbox0-ai/sandbox0/tree/main/skills/sandbox0
Command: npx skills add https://github.com/sandbox0-ai/sandbox0 --skill sandbox0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps AI agent developers integrate Sandbox0 for sandboxed execution, persistent storage, and network controls within their agent projects.

Core Features & Use Cases

  • Sandbox Integration: Add Sandbox0 sandboxing to your agent via CLI or SDK.
  • Configuration Guidance: Get help choosing templates, contexts, volumes, and network policies.
  • Deployment Assistance: Understand options for self-hosted Sandbox0 deployments.
  • Use Case: An AI agent developer needs to run Python code securely in an isolated environment with persistent storage for their project. This Skill guides them through setting up Sandbox0.

Quick Start

Use the sandbox0 skill to help me add Sandbox0 sandboxing to my AI agent.

Frequently Asked Questions about sandbox0

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add sandboxing to an AI agent for secure code execution?

To add sandboxing to an AI agent, you integrate Sandbox0 using its CLI or SDK. This provides isolated execution environments, allowing your agent to securely run code with controlled network access and persistent storage.

What is the best way to configure persistent storage for a sandboxed AI agent?

The best way to configure persistent storage is by setting up volumes through Sandbox0. This ensures data persists across sandbox restarts, maintaining context and state for your AI agent's ongoing operations and tasks.

How do I apply network policies to restrict AI agent network access?

You apply network policies by configuring Sandbox0's network controls during sandbox setup. This allows you to define specific rules that restrict or permit network access for your AI agent, ensuring secure execution.

Can I use Sandbox0 for self-hosted AI agent deployments?

Yes, you can use Sandbox0 for self-hosted deployments. The Skill provides deployment assistance and guidance on self-hosting options, allowing you to run the sandboxing infrastructure within your own environment.

How do I select the right template and context for my AI agent sandbox?

You select templates and manage contexts by leveraging Sandbox0's integration maps and bundled documentation. This guidance helps tailor the sandbox environment specifically to your agent's execution requirements.