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Sql Pro

Checked
herdiansah·vlatest·database

SQL Pro generates SQL queries from natural language descriptions, simplifying database interaction and boosting developer efficiency.

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 herdiansah/antigravity-skills-master --skill sql-pro -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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Scanned
1 file, 162 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 SQL databases. It can execute complex queries, retrieve specific data based on criteria, and perform basic database operations. The agent can understand natural language requests related to database information and translate them into appropriate SQL commands.

When to use it

  • Data analysis: Extracting trends or insights from a customer database to identify sales patterns.
  • Report generation: Automatically creating reports based on data stored in a financial records database.
  • Inventory management: Checking stock levels and generating reorder requests for products listed in an inventory system.
  • Customer support: Quickly retrieving customer information from a CRM database to address inquiries efficiently.

Key capabilities

  • SQL query execution
  • Data retrieval based on specified criteria
  • Database interaction
  • Natural language processing of SQL-related requests

Example prompts

  • "Show me the top 10 customers by purchase amount."
  • "What is the average order value for products in the 'electronics' category?"
  • "Find all orders placed after January 1, 2023."

Tips & gotchas

The agent needs access to a SQL database and appropriate credentials to function correctly. Be mindful of potential security risks when granting database access to AI agents; limit permissions as needed.