# classifier-rag

> classifier-rag — innomon-classifier-rag. Use this tool when you need to classify text or other data using a robust algorithm, solving problems such as categorization, sentiment analysis, and information retrieval. The classifier-rag tool exposes both OpenAI API and MCP Server interfaces, accepting text inputs and outputting categorized results. It is ideal for use cases requiring accurate and efficient classification, such as data mining, natural language processing, and machine learning applications.

Canonical page: https://skillsregistry.net/skills/innomon-classifier-rag  
JSON: https://api.skillsregistry.net/v1/skills/innomon-classifier-rag

## Description

RAG Classifier exposes both OpenAI API and MCP Server (stdio)

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/innomon/classifier-rag)

## 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": "innomon-classifier-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/innomon-classifier-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/innomon-classifier-rag/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