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Postgresql

Checked
iliaal·vlatest·database·MIT

Connects to PostgreSQL databases, executes queries, and retrieves data using iliaal's secure and efficient AI agent interface.

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 iliaal/ai-skills --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

iliaal

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 iliaal/ai-skills at 7b0520aa5d.

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

Commit
7b0520aa5d
Manifest
skills/postgresql/SKILL.md
Scanned
9 files, 657 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 allows an AI agent to interact with and query PostgreSQL databases. It can execute SQL queries, retrieve data based on specified criteria, and perform basic database operations. The skill provides a structured way for agents to access and utilize information stored in PostgreSQL systems.

When to use it

  • Data Analysis: An agent needs to analyze sales figures from a PostgreSQL database to identify trends or outliers.
  • Report Generation: Automatically generate reports based on data residing within a PostgreSQL database, such as monthly performance summaries.
  • Inventory Management: Retrieve and update inventory levels stored in a PostgreSQL database for an e-commerce application.
  • Customer Support: Query customer information from a PostgreSQL database to answer support requests or resolve issues.

Key capabilities

  • SQL Query Execution
  • Data Retrieval
  • Database Interaction

Example prompts

  • "Retrieve all customers from the 'customers' table where the city is 'New York'."
  • "What are the top 10 products by sales volume in the last month?"
  • "Update the quantity of product ID 123 to 50 in the 'inventory' table."

Tips & gotchas

  • Ensure the AI agent has the necessary database credentials (username, password, host) configured correctly.
  • Be mindful of SQL injection vulnerabilities when constructing queries; sanitize user inputs appropriately.