# goldencheck

> goldencheck — benseverndev-oss-goldencheck. Use this tool when you need to validate data and automatically discover underlying rules. Goldencheck solves problems of data inconsistency and incompleteness by analyzing datasets and identifying patterns. It takes in datasets as input and outputs a set of validated data and discovered rules, making it ideal for use cases where data quality and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/benseverndev-oss-goldencheck  
JSON: https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldencheck

## Description

[Archived] Now part of the Golden Suite monorepo: github.com/benseverndev-oss/goldenmatch (packages/python/goldencheck). Active development, issues, and releases live there. Data validation that discovers rules from your data.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/benseverndev-oss/goldencheck)

## 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": "benseverndev-oss-goldencheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldencheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-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