# goldenpipe

> Use this tool when you need to automate data processing workflows by chaining validation, transformation, and entity resolution tasks. It solves problems related to data consistency and integration by orchestrating multiple tools on the Smithery platform. With git capabilities, it accepts data inputs and outputs resolved entities, making it ideal for complex data pipelines.

Canonical page: https://skillsregistry.net/skills/benzsevern-goldenpipe  
JSON: https://api.skillsregistry.net/v1/skills/benzsevern-goldenpipe

## Description

Golden Suite orchestrator — chains validation (GoldenCheck), transformation (GoldenFlow), and entity resolution (GoldenMatch). 4 MCP tools on Smithery. DQBench Pipeline: 88.07.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [GitHub](https://github.com/benzsevern/goldenpipe)

## 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": "benzsevern-goldenpipe"
    }
  }
}
```

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