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Postgresql

Checked
doanchienthangdev·vlatest·database·MIT

Connects to and executes SQL queries against PostgreSQL databases managed by doanchienthangdev.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add doanchienthangdev/omgkit --skill postgresql -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

doanchienthangdev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned doanchienthangdev/omgkit at 045f01ed6d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
045f01ed6d
Manifest
plugin/skills/databases/postgresql/SKILL.md
Scanned
1 file, 502 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with and manage PostgreSQL databases. It allows agents to execute SQL queries, retrieve data, and perform database operations like creating tables or updating records. The agent can be used for tasks ranging from simple data retrieval to complex database management workflows.

When to use it

  • Data Analysis: An agent needs to extract specific information from a PostgreSQL database to generate reports or insights.
  • Database Management: Automate routine database maintenance tasks, such as backups or schema updates.
  • Application Integration: Connect an AI-powered application with a backend PostgreSQL database for data storage and retrieval.
  • Data Migration: Assist in migrating data between different databases or systems using SQL queries.

Key capabilities

  • SQL query execution
  • Data retrieval from PostgreSQL databases
  • Database schema manipulation (e.g., table creation)
  • Record updates within the database

Example prompts

  • "Execute the following SQL query: SELECT * FROM customers WHERE city = 'New York';"
  • "Create a new table named 'orders' with columns for order_id, customer_id, and order_date."
  • "Update the price of product ID 123 to $19.99 in the products table."

Tips & gotchas

  • Ensure the AI agent has appropriate database credentials (username, password) to access the PostgreSQL instance.
  • Be mindful of SQL injection vulnerabilities when constructing queries dynamically; sanitize user inputs properly.