# promptmc

> promptmc — rjonace-promptmc. Use this tool when you need to integrate Large Language Models (LLMs) with OpenMC while ensuring safety and security. It solves problems related to secure infrastructure setup and management for LLM-OpenMC interactions, providing a reliable interface for inputs and outputs. Ideal for use cases where secure and controlled access to OpenMC is required, such as in research or development environments.

Canonical page: https://skillsregistry.net/skills/rjonace-promptmc  
JSON: https://api.skillsregistry.net/v1/skills/rjonace-promptmc

## Description

Infrastructure for safely using OpenMC with LLMs

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/rjonace/promptmc)

## 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": "rjonace-promptmc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rjonace-promptmc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rjonace-promptmc/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