Run DHIS2 validation rules and analyze violations across periods and organisation units.
npx skills add https://github.com/BLSQ/mcp_servers --skill dhis2-validation
Please help me install this Agent Skill. Skill: dhis2-validation Source: https://github.com/BLSQ/mcp_servers/tree/main/.claude/skills/dhis2-validation Command: npx skills add https://github.com/BLSQ/mcp_servers --skill dhis2-validation
This skill validates data quality in DHIS2 by running validation rules and analyzing results.
Connect to a DHIS2 instance, fetch validation rules, run a data analysis for a specific period and organisation unit, and review violations.
High-intent search queries and answers about installing and using this skill.
You can automate DHIS2 data quality checks by running validation rules and analyzing results across specified periods and organisation units. The skill uses standard API endpoints to fetch rules, execute analyses, and identify violations.
Yes, you can inspect historical validation results in DHIS2 to track data quality trends over time. The skill fetches past validation rule violations across periods and organisation units to generate summaries.
DHIS2 validation analysis is the process of running validation rules against your data to identify quality violations. You need it when you want to ensure data integrity and track quality trends across different periods and organisation units.
You can retrieve validation rules from a DHIS2 instance by connecting via a DHIS2 client and using standard API endpoints. This allows you to understand the quality checks configured across your dataset before running analyses.
No external dependencies are required to run this DHIS2 validation skill. It operates using a built-in DHIS2 client and standard API endpoints to fetch rules, run analyses, and generate violation summaries.
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