# XFMS — Model Source

> Use this tool when you need to select the most suitable large language model (LLM) for a specific task, as it provides a ranked shortlist of models along with a rationale based on 8 evaluators. This helps solve the problem of model selection by streamlining the process and providing informed recommendations. It takes in task requirements as input and outputs a list of recommended LLMs, making it ideal for use cases where model choice is critical.

Canonical page: https://skillsregistry.net/skills/dev-xpansion-xfms  
JSON: https://api.skillsregistry.net/v1/skills/dev-xpansion-xfms

## Description

Pick the right LLM for any task. Ranked shortlist with rationale across 8 evaluators.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.4.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.xpansion%2Fxfms)
- **Repository:** <https://github.com/VisionAIrySE/XFMS>

## Use it

MCP endpoint published by the skill: `https://xfms.vercel.app/mcp/`

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": "dev-xpansion-xfms"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-xpansion-xfms` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-xpansion-xfms/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