Open Data Quality

Comprehensive open data quality validator for two audiences: data analysts who need to assess whether a dataset is ready to use, and public administrations who want to self-evaluate their published data. Automatically adapts based on input type: (A) local CSV file only — performs file-level structural and content checks; (B) CKAN/open data portal dataset — adds metadata completeness, resource accessibility, URL reachability, and DCAT-AP compliance (supports all national profiles: DCAT-AP 2.x baseline, IT, BE, NL, DE, FR, UK, ES, and others). Always use this skill when the user mentions: data quality, validate dataset, check CSV, open data compliance, metadata audit, CKAN dataset review, \"is this data usable?\", or whenever a CSV file or CKAN dataset ID/URL is provided for quality assessment. Produces severity-ranked reports (blocker / major / minor) with concrete fixes, quality score, and a plain-language summary for non-technical stakeholders.

mkdir -p ~/.claude/skills/open-data-quality
curl -L https://claudskills.com/skills/open-data-quality/SKILL.md \
  -o ~/.claude/skills/open-data-quality/SKILL.md

@misc{open-data-quality-2026,
  author    = {ondata},
  title     = {Open Data Quality [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/open-data-quality/}
}