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.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
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.
Quick start
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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.
About this listing
Category
Product & design
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.