# duckprobe

> duckprobe — cognis-digital-duckprobe. Use this tool when you need to perform instant data-quality checks on files or warehouses without requiring setup, leveraging DuckDB for seamless analysis. It solves problems related to data integrity and reliability by identifying issues in various data sources. The duckprobe tool takes in files or warehouse connections as input and outputs detailed reports on data quality, making it ideal for data validation and debugging in data science and engineering workflows.

Canonical page: https://skillsregistry.net/skills/cognis-digital-duckprobe  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-duckprobe

## Description

Zero-setup data-quality checks on any file or warehouse via DuckDB

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/duckprobe)

## 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": "cognis-digital-duckprobe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-duckprobe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-duckprobe/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