Check the data after every dbt run: a hook runs the read-only scherlok verify gate after dbt run and dbt build and hands Claude the findings, and the verify-data-pipeline skill sets the loop of verify, fix and verify again, with baseline changes left to a person.
★not rated 13▲
+2 yesterdayA
tokens not measured
originalMIT
Audit a dbt project for what an AI agent will get wrong if you point it at the data today: wrong metric, wrong table, missed rows, broken joins. Produces one evidence-backed report with blockers, verification queries, and a safe starting perimeter.
★not rated 11 2mo agoA
tokens not measured
originalMIT
An operating system for data leaders and data product managers: Product decisions, team handoffs and analyst evidence graphs, with domain applications for healthcare, marketing, logistics/ops and ecommerce.
★not rated 5
changed 1mo agoA
tokens not measured
originalMIT
Data freshness and endpoint liveness verification for AI agents. Probes endpoints for staleness, latency, TLS health, and content changes. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF alignment.
★not rated 2 7mo agoA
tokens not measured
originalMIT