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Kysely Postgres

Checked
qwexs·vlatest·database·MIT

Queries PostgreSQL databases using SQL; retrieves data, executes commands, and manages schemas via a structured 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 qwexs/kysely-postgres-skill --skill kysely-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

qwexs

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 qwexs/kysely-postgres-skill at e0ef18f8e5.

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

Commit
e0ef18f8e5
Manifest
SKILL.md
Scanned
16 files, 2,829 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 PostgreSQL databases using the Kysely query builder. It provides a type-safe and fluent interface for constructing SQL queries, simplifying database interactions and reducing potential errors. The agent can execute queries, retrieve data, and manage database connections.

When to use it

  • Data Extraction: Retrieve specific information from a PostgreSQL database based on user requests (e.g., "Get all customers in California").
  • Report Generation: Generate reports by querying and aggregating data stored within a PostgreSQL database.
  • Database Management: Perform basic database operations like creating tables or inserting data, although this is not the primary focus.
  • Data Validation: Validate user input against data constraints defined in a PostgreSQL database.

Key capabilities

  • Type-safe query building
  • Fluent API for SQL construction
  • Connection management to PostgreSQL databases
  • Query execution and result retrieval

Example prompts

  • "Fetch the names of all products with a price greater than $50."
  • "Get the total number of orders placed in the last month."
  • “Retrieve customer details for order ID 123.”

Tips & gotchas

  • Requires access to a PostgreSQL database and appropriate credentials.
  • The agent needs to be configured with the correct connection parameters (host, port, username, password, database name).