data-card-writer
Generate structured datasheets for datasets (Gebru et al.
Skill by mkurman
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: data, research
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What's inside
- Skill name
data-card-writer- Description
- Generate structured datasheets for datasets (Gebru et al. "Datasheets for Datasets" format) — purpose, composition, collection process, preprocessing, limitations, and licensing.
- License
- MIT
- Instructions
- 70 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Data Card Writer ## Overview Generates a structured datasheet following the "Datasheets for Datasets" framework (Gebru et al., 2021). Every dataset should ship with a data card that answers: who made this, what's in it, how was it collected, what are the limitations. ## Template ```markdown # [Dataset Name] — Data Card v[Version] ## Motivation - Purpose: [What task is this for?] - Creator: [Who created it?] - Funding: [Who funded it?] ## Composition - Instances: [N] examples, [M] features - Target: [What is being predicted?] - Protected attributes: [Gender, race, age, etc. — or "not collected"] - Missing data: [X% missing overall, per-column breakdown] - Class balance: [Distribution] ## Collection Process - Source: [URL, database, API, instrument] - Collection date: [YYYY-MM-DD to YYYY-MM-DD] - Sampling strategy: [Random, stratified, convenience] - Ethical review: [IRB protocol # or "not applicable"] - Consent: [How was consent obtained?] ## Preprocessing - Raw → cleaned pipeline: [Steps applied] - Exclusions: [What was removed and why?] - Transformations: [Normalization, imputation, encoding] - Cleaning script hash: [sha256] ## Uses - Recommended uses: [What this dataset is validated for] - Discouraged uses: [What this should NOT be used for] - Out-of-scope: [Inappropriate applications] ## Distribution - License: [e.g., CC-BY-4.0, CDLA-Permissive] - Access: [URL or process] - Version: [Semantic version] ## Limitations - Known biases: [Demographic, temporal, geographic] - Coverage gaps: [Missing populations, conditions, domains] - Label quality: [Inter-rater agreement, noise estimates] ## Maintenance - Maintainer: [Contact or organization] - Update frequency: [Monthly, annually, none] - Errata: [Link to corrections] ## Citation [BibTeX or DOI] ``` ## Validation Checklist - [ ] All sections populated (none left as placeholder). - [ ] Limitations section is honest — not "no known limitations". - [ ] License is verified (not guessed). - [ ] Provenance traces to source data. - [ ] Contact information is current. - [ ] Version matches the dataset release tag.
From mkurman/zorai, MIT.
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Signals
- Stars
- 325
- Forks
- 24
- Open issues
- 0
- Last commit (this folder)
- May 12, 2026 (5 months ago)
- Last release
- Oct 23, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mkurman/zorai
- Website
- zorai.app/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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data-card-writer skill. Agent Mart. https://agentmart.dev/skills/mkurman-data-card-writer-0e0353 (last updated 2026-10-24)