# labbench

> labbench — yunxingl-mcp-remote-sandbox. Use this tool when you need to manage and facilitate educational coursework, including browsing and assigning projects, running tests, and providing feedback. It solves problems related to online learning and teaching, such as streamlining coursework management and enhancing student engagement. The tool accepts inputs like project assignments and test codes, and outputs results, hints, and feedback through a user-friendly interface.

Canonical page: https://skillsregistry.net/skills/yunxingl-mcp-remote-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/yunxingl-mcp-remote-sandbox

## Description

Enables Claude Code to browse coursework, manage user workspaces, run sandboxed tests, post hints, and assign new projects in LabBench.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nppgd97tpm)
- **Repository:** <https://github.com/yunxingl/mcp_remote_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": "yunxingl-mcp-remote-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yunxingl-mcp-remote-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yunxingl-mcp-remote-sandbox/pull`

---
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