# LLM Python Code Sandbox

> Use this tool when you need to execute Python code in a secure and isolated environment, enabling LLMs to perform complex tasks such as file operations and data visualization with plot capture. It solves problems related to code execution, data processing, and visualization, providing a safe and controlled space for testing and running Python code. Ideal for use cases requiring multi-round execution and MCP integration, with inputs including Python code and outputs including execution results and visualizations.

Canonical page: https://skillsregistry.net/skills/dsxiangli-simple-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/dsxiangli-simple-sandbox

## Description

Enables LLMs to execute Python code in isolated sandboxes with file operations and MCP integration, supporting multi-round execution and plot capture.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v0orpinusx)
- **Repository:** <https://github.com/DSXiangLi/simple_sandbox>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dsxiangli-simple-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dsxiangli-simple-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dsxiangli-simple-sandbox/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt