# gatekeeper

> gatekeeper — gldywn-gatekeeper. Use this tool when you need to securely manage access to your database for AI agents, providing a human-approved bridge to ensure data integrity and security. It solves problems of unauthorized data access and modification by acting as an intermediary between AI agents and your database through Beekeeper Studio. It takes AI agent requests as input and returns approved data outputs, ideal for use cases requiring controlled database interactions.

Canonical page: https://skillsregistry.net/skills/gldywn-gatekeeper  
JSON: https://api.skillsregistry.net/v1/skills/gldywn-gatekeeper

## Description

Human-approved bridge between AI agents and your database through Beekeeper Studio.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/Gldywn/gatekeeper)

## 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": "gldywn-gatekeeper"
    }
  }
}
```

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