# io.github.MatthewTracy/yagami

> io.github.MatthewTracy/yagami — matthewtracy-yagami. Use this tool when you need to implement governed access controls for AI models and tools, enabling secure and managed retrieval, memory, and access. It solves problems related to unauthorized model access and data breaches by providing a single-point control via a base_url change. Ideal for OpenAI SDK applications requiring MCP support and context firewalls.

Canonical page: https://skillsregistry.net/skills/matthewtracy-yagami  
JSON: https://api.skillsregistry.net/v1/skills/matthewtracy-yagami

## Description

Open-source AI context firewall for governed model, retrieval, memory, and tool access. It enables OpenAI SDK applications to adopt governed access via a single base_url change and includes MCP support.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eap0tech8k)
- **Repository:** <https://github.com/MatthewTracy/yagami>

## 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": "matthewtracy-yagami"
    }
  }
}
```

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