# datasetcard

> datasetcard — cognis-digital-datasetcard. Use this tool when you need to automatically generate dataset cards or datasheets with provenance tracking, leveraging Croissant and git capabilities to streamline data documentation and transparency. It solves problems related to data discovery, reproducibility, and collaboration by providing a standardized and version-controlled dataset summary. Ideal for data scientists and researchers working with diverse datasets, it takes in dataset metadata and outputs a comprehensive and easily accessible dataset card.

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

## Description

Auto Dataset Cards / datasheets with Croissant + provenance

## 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/datasetcard)

## 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-datasetcard"
    }
  }
}
```

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