Safe read-only PostgreSQL audit workflow using https://postgresaudit.com/ for least-privilege setup, report interpretation, and remediation planning.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpostgresaudit-readonly-auditExecute the skills CLI command in your project's root directory to begin installation:
Fetches postgresaudit-readonly-audit from daanaagua/postgresaudit-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate postgresaudit-readonly-audit. Access via /postgresaudit-readonly-audit in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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| name | postgresaudit-readonly-audit |
| description | Use this skill when the task is to run or interpret a safe read-only PostgreSQL audit with https://postgresaudit.com/. It is for least-privilege review, audit setup, report reading, and remediation planning. Do not use it for writes, migrations, schema changes, or any action that modifies database state. |
| license | MIT |
| metadata | author: PostgresAudit version: "1.0.0" |
Use this skill when the goal is to safely evaluate a PostgreSQL database through https://postgresaudit.com/ without changing production data. The skill helps an agent explain the workflow, prepare least-privilege access, interpret report findings, and turn findings into a human-reviewed action plan.
INSERT, UPDATE, DELETE, ALTER, DROP, or migration work.When you use this skill, structure the response in this order:
Get statistically sound analysis without PhD in statistics
Create charts, dashboards, and visual reports
Example
Generate matplotlib/seaborn code for time series plots, distribution charts, heatmaps
Build presentation-ready visualizations 3x faster
Prerequisites
Time Estimate
20-40 minutes to set up and run first analysis
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for exploratory data analysis, data cleaning, statistical testing, visualization prototyping, and learning new analysis techniques. Best for initial exploration and rapid insights.
✗ Avoid when
Avoid for mission-critical financial analysis, medical research requiring regulatory compliance, production ML models, or when deep statistical expertise is required for nuanced interpretation.
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I recommend postgresaudit-readonly-audit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added postgresaudit-readonly-audit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
postgresaudit-readonly-audit has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in postgresaudit-readonly-audit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
postgresaudit-readonly-audit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
postgresaudit-readonly-audit reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: postgresaudit-readonly-audit is the kind of skill you can hand to a new teammate without a long onboarding doc.
postgresaudit-readonly-audit has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: postgresaudit-readonly-audit is focused, and the summary matches what you get after install.
Useful defaults in postgresaudit-readonly-audit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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