python-executor

Execute Python code in a secure sandbox with pre-installed libraries.

1|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/marcoamu/openclaw-workspace --skill python-executor-marcoamu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-executor
Source: https://github.com/marcoamu/openclaw-workspace/tree/main/skills/python-executor
Command: npx skills add https://github.com/marcoamu/openclaw-workspace --skill python-executor-marcoamu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Safely run arbitrary Python code in a sandboxed environment with a rich pre-installed library set, ensuring reproducible results and isolated execution.

Core Features & Use Cases

  • Safe, isolated execution of Python code with CPU-only resources.
  • Access 100+ pre-installed libraries for data processing, web scraping, visualization, 3D processing, and automation.
  • Outputs are captured and returned from an outputs/ directory for easy downstream use.

Quick Start

Run a Python snippet in the sandbox and return the results.

Frequently Asked Questions about python-executor

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

FAQPage Schema
How do I run Python code in a sandbox for data processing and web scraping?

You can run Python code in a secure sandbox that executes scripts with CPU-only resources, capturing results and returning them to an outputs/ directory for downstream use.

Can I use pre-installed Python libraries for visualization and automation without setup?

Yes, the sandbox provides access to 100+ pre-installed libraries for data processing, web scraping, visualization, and automation, simplifying experimentation without manual setup.

Does sandboxed Python execution enforce resource limits for quick prototyping?

Sandboxed Python execution enforces safe execution and resource limits by isolating code, applying CPU-only constraints, and ensuring deterministic outputs for your prototyping workflows.

What is the best way to isolate arbitrary Python code execution for API interactions?

The best way to isolate arbitrary Python code is using a sandboxed environment that captures outputs and enforces safe execution, ideal for API interactions and data analysis.

Are there limitations when running image and video processing tasks in a Python sandbox?

Limitations include CPU-only resource constraints and enforced safe execution boundaries, meaning tasks must operate within defined resource limits for deterministic and isolated results.

How do I get results from a sandboxed Python script execution?

Results from sandboxed Python script execution are captured and returned from a dedicated outputs/ directory, ensuring reproducible results for downstream data workflows.