docker-sandbox

Provision and manage Docker sandboxes for AI coding agents.

4|Updated Dec 11, 2022
One-click install
npx skills add https://github.com/namuan/namuan --skill docker-sandbox-namuan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: docker-sandbox
Source: https://github.com/namuan/namuan/tree/main/agents/skills/docker-sandbox
Command: npx skills add https://github.com/namuan/namuan --skill docker-sandbox-namuan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Docker sandboxing enables safe, isolated environments for AI coding agents, reducing risk and increasing reproducibility.

Core Features & Use Cases

  • Create and reuse named sandboxes for multiple agents
  • Mount multiple workspaces with controlled access and isolation
  • Apply network policies to monitor and restrict outbound traffic
  • Provide templates and troubleshooting guidance for macOS and Windows environments

Quick Start

Start a sandbox for your target agent with the docker sandbox run command.

Frequently Asked Questions about docker-sandbox

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

FAQPage Schema
How do I run AI agents in a Docker sandbox safely?▼

Run AI agents safely in a Docker sandbox by provisioning isolated environments with controlled workspace mounts, network policies, and credential configuration to reduce system risk.

Can I mount multiple workspaces inside a Docker sandbox for AI coding agents?▼

Yes, Docker sandbox supports multi-workspace mounts, allowing controlled access and isolation for multiple AI coding agents operating within the same isolated environment.

Does Docker sandboxing for AI agents work on macOS and Windows?▼

Docker sandboxing works across both macOS and Windows, providing template-based images and troubleshooting guidance to ensure consistent isolation for AI agents on either OS.

What is the best way to restrict outbound traffic for AI agents in Docker?▼

The best way to restrict outbound traffic is applying network policies within the Docker sandbox to monitor and control network access for your running AI coding agents.

How do I reuse named Docker sandboxes across different coding agents?▼

Reuse named Docker sandboxes by creating them with specific templates and credentials, then running multiple AI coding agents within those existing isolated environments.

Why do I need to migrate legacy setups to Docker sandbox commands?▼

Migrate legacy setups to Docker sandbox commands to standardize isolation, apply network policies, and ensure reproducible environments across macOS and Windows systems.