# hounddog

> hounddog — hounddogai-hounddog. Use this tool when you need to scan code for privacy vulnerabilities and analyze data flows to ensure secure AI coding practices. It solves problems related to data protection and compliance by identifying potential risks and providing context for remediation. The hounddog tool takes in git repositories as input and outputs detailed reports on privacy issues and data flow analysis.

Canonical page: https://skillsregistry.net/skills/hounddogai-hounddog  
JSON: https://api.skillsregistry.net/v1/skills/hounddogai-hounddog

## Description

Privacy Code Scanner and Dataflow Context Engine for AI coding agents

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/hounddogai/hounddog)

## 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": "hounddogai-hounddog"
    }
  }
}
```

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