A comprehensive SQL lifecycle auditing tool that supports compliance checks, performance evaluation, and DDL impact analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dbskiter-db-sql-auditor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dbskiter-db-sql-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
DB SQL Auditor is a powerful technical skill designed for database administrators and developers who need to maintain high standards of database health. By integrating with Openclaw Skills, this tool provides an automated way to audit single SQL statements, batch files, and DDL changes. It evaluates queries based on syntax, performance, security, and style to ensure every line of code meets production standards.
Beyond simple linting, it offers deep performance insights, including execution plan analysis and cost estimation for IO, CPU, and memory. Whether you are looking to refactor legacy queries or safely deploy schema changes, this tool acts as a dedicated database consultant within your AI agent workflow.
To use this skill within Openclaw Skills, ensure the dbskiter CLI is installed and configured for your environment.
# Audit a specific SQL statement
dbskiter --database=<db_name> audit sql "SELECT * FROM users WHERE id = 1"
# Analyze a DDL change
dbskiter --database=<db_name> audit ddl "ALTER TABLE users ADD COLUMN age INT"
# Check all active audit rules
dbskiter --database=<db_name> audit rules
The skill utilizes a structured grading and classification system to organize its audit results:
| Data Point | Description |
|---|---|
| Audit Score | 90-100: Pass, 80-89: Warning, <80: Fail |
| Category | syntax, performance, security, style, ddl |
| Optimization Metrics | IO Cost, CPU Usage, Memory Requirements |
| Recommendations | Rewritten SQL, Index suggestions, Risk mitigation |
| Plan Analysis | Breakdown of execution bottlenecks based on EXPLAIN output |
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