gemini-code-execution

Execute Python code in a secure sandbox via the Gemini API.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill gemini-code-execution
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-code-execution
Source: https://github.com/FutureAtoms/claude-skills-backup/tree/main/gemini-code-execution
Command: npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill gemini-code-execution

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables the execution of Python code within a secure sandbox environment, allowing for complex data analysis, visualization, and file processing tasks directly through the Gemini API.

Core Features & Use Cases

  • Secure Code Execution: Run Python scripts in an isolated environment without risking your local machine.
  • Data Analysis & Visualization: Perform statistical analysis, generate plots using libraries like Matplotlib, and process data from various sources.
  • File I/O: Read from and write to files within the sandbox for data manipulation and persistence.
  • Image Manipulation: Process images using libraries available in Gemini 3.
  • Use Case: Analyze a large CSV dataset, generate a histogram of the results, and save the plot as a PNG file, all within a single API call.

Quick Start

Use the gemini-code-execution skill to calculate the first 20 Fibonacci numbers and find their sum.

Frequently Asked Questions about gemini-code-execution

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

FAQPage Schema
How do I execute Python code securely using the Gemini API?

To execute Python code securely, this skill runs your scripts in an isolated sandbox environment provided by the Gemini API, preventing risks to your local machine while performing computational tasks.

Can I perform data analysis and generate Matplotlib visualizations in Gemini?

Yes, you can perform data analysis and generate visualizations directly in Gemini. The sandbox supports statistical analysis and plotting with Matplotlib to process data from various sources.

Does the Gemini sandbox support file I/O operations for data manipulation?

Yes, the Gemini sandbox supports file I/O operations. You can read from and write to files within the isolated environment to manipulate data and maintain persistence during computational tasks.

How do I process images with Python code in a Gemini 3 environment?

You process images by executing Python code that utilizes image manipulation libraries available in Gemini 3. This is handled securely within the sandbox environment provided by the API.

What are the limitations of running Python scripts in a Gemini sandbox?

Running Python scripts in a Gemini sandbox isolates execution from your local machine, meaning file I/O is restricted to the sandbox boundaries and computational tasks rely entirely on Gemini API tool-use capabilities.

How do I analyze a CSV dataset and save a plot in a single API call?

You analyze a CSV dataset and save a plot by leveraging Gemini's tool-use capabilities. The sandbox executes the data analysis, generates a Matplotlib histogram, and saves the output as a PNG file.