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Postgres

Checked
sanjay3290·vlatest·database·Apache-2.0

Connects to and queries PostgreSQL databases using SQL, enabling data retrieval and analysis for Sanjay3290's applications.

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 sanjay3290/ai-skills --skill postgres -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

sanjay3290

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 sanjay3290/postgres-skill at 281d88df19.

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

Commit
281d88df19
Manifest
skills/postgres/SKILL.md
Scanned
5 files, 482 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 AI agents to interact with and manage PostgreSQL databases. It can execute SQL queries, retrieve data, and perform database operations based on natural language instructions. The agent can also be used to create tables and insert data into a Postgres database.

When to use it

  • You need to query a PostgreSQL database for specific information (e.g., "Find all customers in California").
  • You want to automate tasks like creating new database entries or updating existing records.
  • You're building an application that requires data retrieval and manipulation from a Postgres database.
  • You need to generate SQL queries based on user requests without manual coding.

Key capabilities

  • Execute SQL queries against PostgreSQL databases.
  • Retrieve data from tables.
  • Create new tables within the database.
  • Insert data into existing tables.

Example prompts

  • "Get me a list of all products with a price greater than $50."
  • "Create a table called 'users' with columns for id, name, and email."
  • "Add a new user to the users table: name='Alice', email='[email protected]'."

Tips & gotchas

  • Ensure the AI agent has appropriate credentials (username/password) to access the PostgreSQL database.
  • The skill's performance depends on the complexity of the SQL queries and the size of the database.