# Hands_on_LLM

> Hands_on_LLM — theanh130124-hands-on-llm. Use this tool when you need to test and evaluate various language models and technologies such as RAG, OCR, VLM, and MAE. It provides a hands-on environment to assess their capabilities and performance, solving problems related to language understanding and processing. Ideal for developers and researchers working with AI and machine learning models, it accepts code and model inputs and outputs evaluation results through a git interface.

Canonical page: https://skillsregistry.net/skills/theanh130124-hands-on-llm  
JSON: https://api.skillsregistry.net/v1/skills/theanh130124-hands-on-llm

## Description

These are tests of technologies that serve RAG , OCR , VLM ,MAE ...

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Theanh130124/Hands_on_LLM)

## 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": "theanh130124-hands-on-llm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theanh130124-hands-on-llm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theanh130124-hands-on-llm/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