# ai.llmintel/llmintel

> ai.llmintel/llmintel — ai-llmintel-llmintel. Use this tool when you need to verify the status of a Large Language Model (LLM) and determine migration options. It checks for deprecated, retiring, or retired model IDs and provides recommendations for replacement models. Input an LLM model ID to receive a status report and migration guidance as output.

Canonical page: https://skillsregistry.net/skills/ai-llmintel-llmintel  
JSON: https://api.skillsregistry.net/v1/skills/ai-llmintel-llmintel

## Description

Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.llmintel%2Fllmintel)
- **Repository:** <https://github.com/hivemindunit/llmintel-mcp>

## 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": "ai-llmintel-llmintel"
    }
  }
}
```

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