# Sandbox Agent

> Use this tool when you need to execute code in a secure and isolated environment, solving problems related to testing, debugging, and development of applications. The Sandbox Agent takes in code files and supports various kernels, outputting results and allowing file import/export and cross-session transfers. It is ideal for use cases requiring a safe and persistent coding space, such as prototyping, data analysis, or machine learning model development.

Canonical page: https://skillsregistry.net/skills/eduresser-sandbox-agent  
JSON: https://api.skillsregistry.net/v1/skills/eduresser-sandbox-agent

## Description

Enables code execution in isolated Docker containers with persistent IPython, Node.js, or R kernels, supporting file import/export and cross-session transfers via MCP tools.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/we3m6mhjqa)
- **Repository:** <https://github.com/eduresser/sandbox-agent>

## 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": "eduresser-sandbox-agent"
    }
  }
}
```

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