Agent skill · data analytics · borghei
data-quality-auditor
Audit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting schema drift, monitoring freshness SLAs, or responding to a DQ incident.
Why this skill is useful
Provides a comprehensive framework for auditing data quality with specific rule-based checks and schema drift detection that the AI wouldn't reliably generate on its own.
What it needs
Requires dbt, great-expectations, soda installed locally. About 5k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Data Quality Auditor End-to-end data quality (DQ) practice: define DQ dimensions, write rule-based checks, detect schema drift, monitor freshness SLAs, respond to DQ incidents, build a maturity-graded program. Tool-agnostic — works whether you use Great Expectations, dbt tests, Soda Core, Monte Carlo, custom SQL, or hand-rolled scripts. This skill is audit-focused, not pipeline-focused. For pipeline design, ETL, Spark/dbt, see engineering/senior-data-engineer. Core Capabilities Six DQ dimensions — completeness, accuracy, consistency, timeliness/freshness, validity, uniqueness (plus integrity, conformity, reasonableness); at least one check per dimension at production stage. DQ check catalog — five categories (volume, freshness, schema, values, distribution) of ~50 specific check patterns applied per dataset. Schema drift detection — snapshot baseline schemas and diff added/removed/changed columns, types, and ordinals with severity. Freshness SLA monitoring — per-table max-age budgets with alerting-ready output. Incident response — severity classification (Sev1-4) and a 7-step playbook (acknowledge → quarantine → triage → contain → fix-forward → notify → post-incident) with recovery patterns. Maturity & governance — a five-level maturity model and anti-pattern catalog to grade and improve a DQ program. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/data-quality-auditor