| name | sql-sentinel |
| description | Audit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres. |
| category | data |
| risk | safe |
| source | community |
| source_repo | takeaseatventure/sql-sentinel |
| source_type | community |
| date_added | 2026-06-26 |
| author | takeaseat |
| tags | ["sql","bigquery","snowflake","redshift","postgres","data-warehouse","cost-optimization","performance","audit","finops"] |
| tools | ["claude","cursor","codex","gemini"] |
| license | MIT |
| license_source | https://github.com/takeaseatventure/sql-sentinel/blob/main/LICENSE |
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
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.
How It Works
The engine splits a SQL script into statements (honoring quotes and comments), runs 20 rules over each statement, scores health 0-100 weighted by severity (critical 25, high 12, medium 5, low 1), and returns a prioritized cost-reduction plan.
Step 1: Run the audit
Install or clone the source repository, then run the zero-dependency engine:
git clone https://github.com/takeaseatventure/sql-sentinel.git
cd sql-sentinel
node scripts/sql-sentinel.js path/to/query.sql
Or programmatically:
const { auditSql } = require('./scripts/sql-sentinel');
const report = auditSql(yourSqlString, { dialect: 'bigquery' });
console.log(report.healthScore);
.(report.);
.(report.);
