python-executor

Execute Python code in isolated CPU-only sandboxes with preinstalled libraries.

4|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill python-executor-sheshiyer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-executor
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/upstream/ab546d072f1e/tools/utilities/python-executor
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill python-executor-sheshiyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Running Python code often risks uncontrolled behavior and environment setup overhead. This Skill provides a safe, sandboxed execution environment with 100+ pre-installed libraries to accelerate development, experimentation, and automation.

Core Features & Use Cases

  • Safe, isolated sandboxed execution of Python code
  • Pre-installed libraries including NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, and more
  • Deterministic, CPU-only runtime suitable for data processing, scraping, image & video processing, and automation
  • Quick-start workflows for data analysis, API calls, and media generation across data science and media tasks

Quick Start

Submit a Python script to the sandboxed executor to run and receive outputs.

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 scripts safely without risking my local environment setup?

You can run Python scripts safely by submitting them to a sandboxed executor. This isolated environment runs code in subprocesses, preventing uncontrolled behavior while providing a CPU-only runtime with pre-installed libraries.

Can I use Selenium and Playwright for web scraping in a CPU-only environment?

Yes, web scraping with Selenium and Playwright is supported in this CPU-only environment. The sandbox includes these libraries alongside BeautifulSoup and requests to automate data extraction tasks safely.

Does this sandboxed Python execution environment include data processing libraries like Pandas and NumPy?

Yes, sandboxed Python execution includes data processing libraries like Pandas and NumPy. It comes with 100+ pre-installed libraries, enabling immediate data analysis and manipulation without any environment setup overhead.

What is the best way to automate media processing tasks like video editing with Python?

The best way to automate media processing is using a sandboxed Python environment with pre-installed libraries. It includes MoviePy, Pillow, and OpenCV, allowing you to execute image and video processing workflows safely.

Are there limitations when running 3D modeling or API integration tasks in a Python sandbox?

The primary limitation of this Python sandbox is its CPU-only runtime. While suitable for 3D modeling, API integration, and data processing, tasks requiring GPU acceleration or direct local system access are restricted.

Do I need to install dependencies before executing Python code for data science workflows?

No, you do not need to install dependencies before executing Python code. The sandbox provides a rich pre-installed library suite for data science, ensuring deterministic execution without manual environment configuration.