# reverse-cad

> reverse-cad — grizlizora-reverse-cad. Use this tool when you need to convert STL files to STEP AP242 solid B-Rep format with high mathematical fidelity, or when working with semantic CAD features in JSON format, particularly for industrial-grade applications requiring precise kinematics and thread modeling. It solves problems related to CAD file conversion, feature extraction, and AI agent integration, accepting STL files as input and producing STEP AP242 and JSON outputs. Ideal for use cases involving 3D modeling, additive manufacturing, and computer-aided design, especially when sub-second conversion speeds and high accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/grizlizora-reverse-cad  
JSON: https://api.skillsregistry.net/v1/skills/grizlizora-reverse-cad

## Description

⚙️ Industrial-grade deterministic STL ➔ STEP AP242 solid B-Rep converter & semantic CAD Features JSON engine with built-in MCP server for AI agents. Sub-second speed, ISO threads (M2–M24), Print-in-Place kinematics, and 99.958% RSVS mathematical fidelity across macOS, Windows, and Linux.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/grizlizora/reverse-cad)

## 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": "grizlizora-reverse-cad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grizlizora-reverse-cad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grizlizora-reverse-cad/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