What problem does it solve?
This Skill helps you quickly determine whether a dataset is usable by validating both local CSV files and CKAN/open data portal datasets against open data quality and DCAT-AP-style expectations.
Core Features & Use Cases
- CSV quality validation (local files): checks encoding, headers, structure, common CSV formatting problems, and data content issues.
- CKAN portal compliance review: validates dataset metadata completeness, accessibility of distribution URLs, and DCAT-AP profile-specific requirements (including multiple national profiles).
- Actionable, severity-ranked findings: produces blocker/major/minor issues with a plain-language summary and concrete fixes for both analysts and public administrations.
Quick Start
Ask your AI assistant to use the open-data-quality skill to validate the dataset quality for the provided CSV file or CKAN dataset URL, and return a severity-ranked report with recommended fixes.