python-executor

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

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Michae2xl/claude-skills-michael --skill python-executor-michae2xl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-executor
Source: https://github.com/Michae2xl/claude-skills-michael/tree/main/skills/python-executor
Command: npx skills add https://github.com/Michae2xl/claude-skills-michael --skill python-executor-michae2xl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires inference.sh, python:3.10, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of executing Python code in a secure and isolated environment, without the risk of running malicious scripts on your system.

Core Features & Use Cases

  • Sandboxed Execution: Run Python code in a safe, isolated environment.
  • Vast Library Support: Access a wide range of pre-installed libraries like NumPy, Pandas, Matplotlib, and more.
  • Use Case: If you need to perform data analysis, web scraping, image processing, or video creation, this skill allows you to execute Python code with the necessary libraries without the need to install them locally.

Quick Start

Run Python code using the 'python-executor' skill with the following command: infsh app run infsh/python-executor --input '{"code": "print('Hello World!')"}'

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 safe sandbox without installing libraries locally?

You can run Python code in a safe sandbox using a pre-configured environment that isolates execution. It provides access to pre-installed libraries like NumPy and Pandas, eliminating local installation risks while executing your scripts securely.

Can I use Python for data analysis and web scraping without setting up a local environment?

Yes, Python data analysis and web scraping can be executed directly without local setup. The sandbox includes pre-installed libraries such as Pandas and Matplotlib, allowing you to process data and scripts immediately in an isolated environment.

Do I need Python 3.10 and inference.sh to execute Python scripts in this sandbox?

Yes, executing Python scripts in this sandbox requires the inference.sh CLI and Python 3.10. These dependencies are necessary to run the secure, isolated environment and access the comprehensive set of pre-installed libraries.

What Python libraries are pre-installed for image processing and data analysis?

Pre-installed Python libraries include NumPy, Pandas, and Matplotlib. This vast library support enables tasks like data analysis, image processing, and video creation directly within the sandbox without requiring manual package installation.

Why should I use a sandboxed environment for Python code execution?

A sandboxed environment for Python code execution prevents the risk of running malicious scripts on your system. It isolates the process, ensuring safe scripting and data processing while protecting your local machine from potential harm.

What are the limitations of running Python code in a sandbox?

Limitations of running Python code in a sandbox include the inability to install custom libraries not pre-packaged in the environment. Execution is restricted to the provided isolated setup, requiring the inference.sh CLI and Python 3.10.