# GoldenCheck

> Use this tool when you need to validate and profile your data to discover hidden rules and patterns. GoldenCheck solves data quality and integrity problems by scanning and assigning a health score to your data, providing insights through domain packs. It takes in raw data as input and outputs a comprehensive profile, making it ideal for use cases where data accuracy and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-benzsevern-goldencheck  
JSON: https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldencheck

## Description

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-05-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.benzsevern%2Fgoldencheck)
- **Repository:** <https://github.com/benzsevern/goldencheck>

## Use it

MCP endpoint published by the skill: `https://goldencheck-mcp-production.up.railway.app/mcp/`

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": "io-github-benzsevern-goldencheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldencheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-benzsevern-goldencheck/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