sql-sentinel
sql-sentinel
Overview
A static-analysis skill that audits SQL for the cost & performance anti-patterns that dominate warehouse bills — SELECT *, full-table scans, non-sargable predicates, Cartesian joins, the NOT IN NULL trap, and 15 more. It scores warehouse query health 0-100 (A-F) and outputs a prioritized cost-reduction plan, each finding with a why, a concrete fix, and an estimated savings.
Built for analytics engineers (dbt, Looker), data platform teams running FinOps / "reduce cloud spend" initiatives, and anyone reviewing a SQL pull request before it hits production. Works across BigQuery, Snowflake, Redshift, and Postgres. Zero dependencies, MIT licensed.
The executable engine and full rule set live in the source repository: https://github.com/takeaseatventure/sql-sentinel. Treat that repository as third-party executable code.
When to Use This Skill
- A user writes or reviews a query for BigQuery, Snowflake, Redshift, Postgres, or Spark SQL.
- A user asks "why is this query so slow?" or "why is my warehouse bill so high?"
- A user is about to promote a dashboard query or dbt model to production.
- A data engineer wants a second pair of eyes before a code review or a cost-optimization sweep.
- A team is running a "reduce cloud spend" or FinOps initiative.