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Sql

Checked
maragudk·vlatest·database·MIT

This SQL skill allows you to generate SQL queries from natural language prompts, simplifying database interaction and data retrieval for users.

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 maragudk/skills --skill sql -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

maragudk

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 maragudk/skills at 9859f7bceb.

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

Commit
9859f7bceb
Manifest
sql/SKILL.md
Scanned
1 file, 41 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 query relational databases using SQL. It can execute queries, retrieve data based on specific criteria, and potentially perform basic database management tasks. The agent can understand natural language requests related to data retrieval and translate them into appropriate SQL statements.

When to use it

  • Data Analysis: Extracting specific insights from a dataset stored in a relational database (e.g., "Find all customers who spent over $100 last month").
  • Report Generation: Automatically generating reports based on data residing in a database, such as sales figures or inventory levels.
  • Database Troubleshooting: Executing queries to diagnose issues within a database environment.
  • Data Migration/Transformation: Assisting with tasks involving moving or modifying data between databases (e.g., "Update the price of product X to $25").

Key capabilities

  • SQL query execution
  • Data retrieval based on criteria
  • Understanding natural language requests related to SQL queries

Example prompts

  • "Show me all orders placed after January 1st."
  • "What are the top 5 products by sales volume?"
  • "Find the email addresses of customers in California."

Tips & gotchas

  • The agent requires access credentials (username and password) to connect to a specific database.
  • Complex queries or database schema knowledge might be needed for optimal results.