# ozc

> ozc — joemekw-code-ozc. Use this tool when you need to establish a trusted infrastructure for personal sovereignty and responsibility in an era of information overload. It solves problems related to data management and security by providing an on-chain experiment on a base layer, allowing for secure and transparent data storage and sharing. The ozc tool accepts git inputs and outputs trusted and verified data, ideal for use cases requiring secure data management and decentralized authentication.

Canonical page: https://skillsregistry.net/skills/joemekw-code-ozc  
JSON: https://api.skillsregistry.net/v1/skills/joemekw-code-ozc

## Description

Your AI's trust filter, owned by you. Rate any URL, filter your AI's sources, build transparent information markets. MCP server + REST API + Python SDK.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/joemekw-code/ozc)

## 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": "joemekw-code-ozc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joemekw-code-ozc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joemekw-code-ozc/pull`

---
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
