A powerful tool for creating and managing isolated Docker VM sandboxes to safely execute AI agents and untrusted code.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-sandbox-lucas
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-sandbox-lucas using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Docker Sandbox?
The Docker Sandbox skill provides a robust framework for running AI agents within isolated virtual machine environments. By leveraging Docker Desktop's sandbox feature, this skill ensures that agent workloads remain separate from the host system through filesystem isolation and virtiofs workspace mounting. It is an essential addition to the Openclaw Skills ecosystem for developers who need to explore untrusted packages, test destructive operations, or run arbitrary code from external sources without compromising system integrity.
This skill supports popular agents like Claude, Gemini, and Copilot, providing them with a controlled environment equipped with Node.js, Git, and Python. With integrated network proxy controls, users can enforce strict allowlists or blocklists, ensuring that agents only access approved domains. Whether you are building reproducible experiments or securing agent execution, this skill offers the infrastructure needed for safe AI-driven development.
Docker Sandbox Use Cases
- Safely exploring untrusted packages or Openclaw Skills before system-wide installation.
- Running arbitrary code from external sources in a secure, isolated VM.
- Testing destructive scripts or operations without risking the host filesystem.
- Isolating agent workloads with granular network proxy controls.
- Creating reproducible development environments for team-wide experiments.
How Docker Sandbox Works
- The user initiates a sandbox by specifying an agent and a workspace path using the create command.
- Docker Desktop provisions a lightweight VM with filesystem isolation and mounts the host directory via virtiofs.
- The skill configures the environment with necessary runtimes (Node.js, Python) and security proxies.
- Commands or agents are executed inside the sandbox using the exec or run commands.
- Network traffic is filtered through a proxy based on user-defined allow/block rules.
- The sandbox state can be saved as a reusable template or removed to destroy the VM and its contents.
Docker Sandbox Setup
Ensure you have Docker Desktop 4.49+ installed with the sandbox plugin. Verify your installation by running:
docker sandbox version
To create your first sandbox for a project using Openclaw Skills, use:
docker sandbox create --name my-sandbox claude .
Docker Sandbox Data Schema & Taxonomy
| Component | Description |
|---|---|
| Workspace Mount | Host paths are mapped into the sandbox preserving structure (e.g., Windows H: becomes /h/). |
| Agent Home | Located at /home/agent/ with a symlinked workspace/ directory for easy access. |
| Runtimes | Includes Node.js v20.x, Python, Git, and standard Linux utilities like curl and wget. |
| Network Logs | Captured via docker sandbox network log for auditing connectivity and security. |
| Snapshots | Reusable templates created via the save command to preserve persistent environment states. |
Docker Sandbox Advanced Features
- Granular network proxy controls with support for CIDR ranges, domain allowlists, and blocklists.
- Snapshoting capabilities to save current sandbox states as reusable custom templates for teams.
- Docker-in-Docker support via access to the Docker socket at /run/docker.sock inside the VM.
- Custom base image support for specialized environments tailored to specific Openclaw Skills.
- Automated environment variable injection and proxy configuration (HTTP_PROXY/HTTPS_PROXY).
SKILL.md
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