Skip to content
InfratoApp
InfratoApp / Resources / Agent skills / authoring-data-quality-checks

authoring-data-quality-checks

authoring-data-quality-checks is an agent skill published by posthog, listed under data & analysis. It lives in the PostHog/skills repository, which has 75 GitHub stars and is licensed under MIT; we last read it on 2026-10-08.

This tool adds and runs data quality checks on warehouse tables and saved-query views, including not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL checks. It is used to test models, validate views, and ensure data trustworthiness.

Install

skills is a generic installer for any repository of Claude agent skills -- it reads PostHog/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add PostHog/skills

Maintenance

Stars
75
State
listed
Licence
MIT
From the repository

Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views, and HogQL catalog metrics: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Metrics support custom SQL checks only. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data *means* (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.

authoring-data-quality-checks compared with similar skills

authoring-data-quality-checks compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
authoring-data-quality-checks (this page)posthogAdds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query…752026-10-25
investigating-ci-failures(same repository)posthogInvestigates a specific CI failure to a verdict: whose fault, which commit, who wrote it, and whether it's fi…752026-10-25
managing-experiment-lifecycle(same repository)posthogGuides experiment state transitions: launching, pausing, resuming, freezing/unfreezing exposure, ending, ship…752026-10-25
managing-path-cleaning-rules(same repository)posthogInspects URL paths and proposes, tests, orders, and applies project-level path cleaning rules so dynamic segm…752026-10-25
signals-scout-customer-analytics-billing-and-usage(same repository)posthogSignals scout for per-account product-mix shifts. Watches each staked account's usage and forecasted MRR per…752026-10-25
agent-platform-rag-engine-managementgoogleManage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.…21,5802026-10-25
alloydb-basicsgoogleManages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Contex…21,5802026-10-25

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about authoring-data-quality-checks

What does authoring-data-quality-checks do?
This tool adds and runs data quality checks on warehouse tables and saved-query views, including not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL checks. It is used to test models, validate views, and ensure data trustworthiness.
How do I install authoring-data-quality-checks?
Run npx skills add PostHog/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes authoring-data-quality-checks?
posthog.
Is authoring-data-quality-checks maintained, and what licence does it use?
Its repository has 75 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-25. The repository declares the MIT licence.

More agent skills for data & analysis

All data & analysis entries →

Learn this on Infrato