open-data-quality
OfficialValidate open datasets and fix quality issues fast.
Data & Analytics#data quality#csv validation#quality reporting#accessibility checks#ckan metadata#dcat-ap compliance#dataset auditing
Authorondata
Version1.0.0
Installs0
System Documentation
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.
Dependency Matrix
Required Modules
uvxpythonduckdbhttpxcharset-normalizerrichtyper
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: open-data-quality Download link: https://github.com/ondata/skills/archive/main.zip#open-data-quality Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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