# voidLang

> voidLang — 24greyhat-voidlang. Use this tool when you need to compile and execute native machine code directly from large language models (LLMs), solving problems related to efficient deployment and integration of AI models. It takes LLM outputs as input and generates optimized machine code, providing a seamless interface for git-based version control and management. Ideal for use cases requiring fast and scalable model deployment, such as high-performance computing and real-time inference applications.

Canonical page: https://skillsregistry.net/skills/24greyhat-voidlang  
JSON: https://api.skillsregistry.net/v1/skills/24greyhat-voidlang

## Description

VoidLang - LLM Native Machine Code MCP

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/24greyhat/voidLang)

## 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": "24greyhat-voidlang"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/24greyhat-voidlang` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/24greyhat-voidlang/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