← Back to Skills Marketplace
newtonfrank

Docker Sandbox

by Newton Frank · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
350
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install docker-docker-sandbox-agent
Description
A generic skill that provides a secure, temporary Docker sandbox for executing generated code (Python, Node.js, bash, etc.). Agents can use this to verify th...
README (SKILL.md)

Docker Sandbox

Execute and verify code securely inside isolated temporary containers.

Problem

Agents frequently generate code (Python, JS, Shell scripts) that they need to test before presenting a final solution. Running this code directly on the host machine poses significant security and stability risks.

Solution

The docker-sandbox skill establishes a pattern for agents to provision a temporary, isolated container environment using Docker. Code executes inside the container, captures standard output and error, and cleans up immediately after completion.

Features

  • Host Isolation - Runs code securely away from the host system's file tree and environment variables.
  • Ephemeral Execution - Containers are automatically destroyed (--rm) after the process exits.
  • Multi-environment - Supports Python, Node.js, Go, or any Docker-supported runtime.
  • Resource Controls - Hard constraints on memory and CPU avoid runaway processes.

Usage Guide (For Agents)

When evaluating or testing code, use the following execution abstractions via the host terminal. Prepare your code in a local temporary directory (e.g., ./.sandbox/), then mount it in the container.

1. Python Verification

Run a python script securely with constrained memory and CPU.

# Create a test script
mkdir -p .sandbox
echo 'print("Hello from Docker Sandbox!")' > .sandbox/main.py

# Execute in python sandbox
docker run --rm \
    --memory="512m" \
    --cpus="1.0" \
    --network none \
    -v "$(pwd)/.sandbox:/app" \
    -w /app \
    python:3.10-slim python main.py

2. Node.js Verification

Evaluate JavaScript / Node.js safely.

docker run --rm \
    --memory="512m" \
    --cpus="1.0" \
    --network none \
    -v "$(pwd)/.sandbox:/app" \
    -w /app \
    node:18-alpine node main.js

3. Bash/Shell Verification

Test shell scripts in a generic Alpine environment.

docker run --rm -v "$(pwd)/.sandbox:/app" -w /app alpine sh script.sh

Security Guidelines

  1. Mount Minimization: Never mount sensitive host directories (e.g., /etc, ~/.ssh, or /) into the sandbox. Mount only the specifically designated .sandbox or task-related directory.
  2. Network Isolation: By default, include --network none in the command to prevent the code from exfiltrating data or initiating unwanted network requests, unless network access is functionally necessary for the test.
  3. Privileges: Never use --privileged mode or run containers mapped directly to the root user of the host if preventable.
Usage Guidance
This skill is coherent for its stated purpose, but running containers via an agent is powerful and you should take operational precautions before enabling or trusting it. Consider: (1) only give agents access to Docker in tightly controlled environments — the Docker daemon is effectively root on the host; (2) ensure the agent never mounts sensitive host paths (including /, /etc, ~/.ssh) and ensure it cannot mount the Docker socket (/var/run/docker.sock) into containers; (3) prefer additional hardening flags (e.g., --user to avoid root inside container, --read-only, --tmpfs for writable dirs, --security-opt=no-new-privileges, --cap-drop ALL, custom seccomp or AppArmor profiles, and explicit resource limits); (4) ensure examples are consistent (add --network none and resource limits to the bash example) and adapt path syntax for Windows; (5) test the workflow in an isolated VM or disposable host first. If you cannot enforce these operational constraints, do not grant an agent unrestricted ability to run docker on important hosts.
Capability Analysis
Type: OpenClaw Skill Name: docker-docker-sandbox-agent Version: 1.0.0 The skill provides a set of instructions and templates for an AI agent to execute generated code within isolated Docker containers. It promotes security best practices by recommending resource constraints, network isolation (--network none), and restricted volume mounting to prevent host compromise or data exfiltration during code verification (SKILL.md).
Capability Assessment
Purpose & Capability
Name, description, and runtime instructions all center on running code inside Docker containers. The only required binary is `docker`, which is exactly what this skill needs.
Instruction Scope
Instructions demonstrate creating a local `.sandbox` directory and running containers with --rm, resource limits, and --network none in some examples. However: (1) the Bash example omits resource and network flags that the doc claims are default; (2) the doc relies on the agent/operator to avoid mounting sensitive host paths but does not explicitly warn about the danger of mounting the Docker socket (/var/run/docker.sock); (3) it does not show using non-root users, read-only mounts, no-new-privs, capability drops, or other container-hardening features that are commonly recommended. The mount command uses POSIX shell syntax ($(pwd)) but the metadata lists Windows support; Windows-specific path guidance is missing.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk delivery mechanism. Nothing is written to disk by the skill itself.
Credentials
The skill requests no environment variables or credentials. Requiring only the `docker` binary is proportionate to the claimed capability.
Persistence & Privilege
Skill is user-invocable and not set always:true. It does not request system-wide changes or persistent presence beyond runtime instructions. Autonomous invocation is allowed (platform default) but not elevated by the skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install docker-docker-sandbox-agent
  3. After installation, invoke the skill by name or use /docker-docker-sandbox-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
**Initial release of docker-sandbox skill.** - Run agent-generated code safely using isolated, ephemeral Docker containers. - Supports Python, Node.js, and shell script verification with standard Docker images. - Enforces host isolation, CPU/memory limits, and network blocking by default. - Advises secure usage patterns for mounting, networking, and privileges. - Plain, usage-focused documentation for multi-platform environments.
Metadata
Slug docker-docker-sandbox-agent
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Docker Sandbox?

A generic skill that provides a secure, temporary Docker sandbox for executing generated code (Python, Node.js, bash, etc.). Agents can use this to verify th... It is an AI Agent Skill for Claude Code / OpenClaw, with 350 downloads so far.

How do I install Docker Sandbox?

Run "/install docker-docker-sandbox-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Docker Sandbox free?

Yes, Docker Sandbox is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Docker Sandbox support?

Docker Sandbox is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Docker Sandbox?

It is built and maintained by Newton Frank (@newtonfrank); the current version is v1.0.0.

💬 Comments