# Geniuz

> Use this tool when you need to securely store and manage data locally without relying on cloud services or external accounts. Geniuz solves problems related to data privacy and security by keeping all information stored on your device, with no risk of data leakage or exposure. It provides a self-contained, open-source solution with a local database interface, ideal for use cases where data sovereignty and control are paramount.

Canonical page: https://skillsregistry.net/skills/jackccrawford-geniuz  
JSON: https://api.skillsregistry.net/v1/skills/jackccrawford-geniuz

## Description

Geniuz stores everything in a local database locally on Mac, Windows, Linux, Raspberry Pi. No cloud. No account. No API keys. Nothing leaves your machine. It's open source; you can read every line of code.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u7t788mj6e)
- **Repository:** <https://github.com/jackccrawford/Geniuz>

## 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": "jackccrawford-geniuz"
    }
  }
}
```

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