# nfrx

> nfrx — gaspardpetit-nfrx. Use this tool when you need to facilitate seamless model inference exchange between different frameworks and environments. It solves problems related to model deployment, scalability, and compatibility, enabling efficient collaboration and deployment of machine learning models. With git integration, nfrx accepts model repositories as input and outputs optimized, deployable models.

Canonical page: https://skillsregistry.net/skills/gaspardpetit-nfrx  
JSON: https://api.skillsregistry.net/v1/skills/gaspardpetit-nfrx

## Description

nfrx is an inference exchange gateway

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/gaspardpetit/nfrx)

## 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": "gaspardpetit-nfrx"
    }
  }
}
```

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