# desmume_webassembly_harness

> desmume_webassembly_harness — daisukedaisuke-desmume-webassembly-harness. Use this tool when you need to automate and interact with Nintendo DS games, enabling control over a DeSmuME WebAssembly emulator for tasks such as state management and screenshot capture. It solves problems related to automated game testing, debugging, and scripting, providing a persistent scripting interface via stdio MCP. This tool is ideal for use cases requiring programmatic control over Nintendo DS game emulation, with inputs including script commands and outputs including emulator state and screenshots.

Canonical page: https://skillsregistry.net/skills/daisukedaisuke-desmume-webassembly-harness  
JSON: https://api.skillsregistry.net/v1/skills/daisukedaisuke-desmume-webassembly-harness

## Description

Enables Codex to control a DeSmuME WebAssembly emulator for Nintendo DS games, including state management, screenshots, and persistent scripting via stdio MCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## 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/j1izb9y1lo)
- **Repository:** <https://github.com/DaisukeDaisuke/desmume_webassembly_harness>

## 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": "daisukedaisuke-desmume-webassembly-harness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daisukedaisuke-desmume-webassembly-harness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daisukedaisuke-desmume-webassembly-harness/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