# fine-tuning-os

> Use this tool when you need to fine-tune large language models (LLMs) without compromising client data, providing a secure and comprehensive solution for model preparation, training, and deployment. It offers 64 tools across 10 dimensions, enabling users to prepare, build, train, evaluate, secure, package, and deliver fine-tuned models. Ideal for applications requiring customized LLMs, this tool ensures data privacy and security while streamlining the fine-tuning process.

Canonical page: https://skillsregistry.net/skills/casius999-fine-tuning-os  
JSON: https://api.skillsregistry.net/v1/skills/casius999-fine-tuning-os

## Description

A zero-data MCP server for LLM fine-tuning, providing 64 tools across 10 dimensions to prepare, build, train, evaluate, secure, package, and deliver fine-tuned models without ever accessing client data.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dqvoj0y6mf)
- **Repository:** <https://github.com/Casius999/fine-tuning-os>

## 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": "casius999-fine-tuning-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/casius999-fine-tuning-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/casius999-fine-tuning-os/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