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Sql Pro

Checked
ai-engineer-agent·vlatest·agents

Provides AI guidance and assistance for orchestrating AI agents and multi-step workflows.

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 agenticaiengineer/ai-engineer-skills --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

ai-engineer-agent

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 ai-engineer-agent/ai-engineer-skills at ae0b890c03.

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

Scanned
1 file, 55 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

The ai-engineer-agent-sql-pro skill enables AI agents to interact with and query SQL databases. It allows for executing complex SQL queries, retrieving data based on specific criteria, and potentially updating database records – all through natural language prompts. This skill is designed to bridge the gap between human intention and direct database manipulation.

When to use it

  • Data Analysis: Extracting insights from a relational database to answer business questions or identify trends.
  • Report Generation: Automatically generating reports based on data stored in SQL databases.
  • Application Integration: Connecting an AI agent to backend systems that rely on SQL for data storage and retrieval.
  • Database Management: Performing simple updates or modifications to a database, such as correcting errors or adding new entries.

Key capabilities

  • SQL query execution
  • Data retrieval from databases
  • Potential for database record updating (implementation dependent)

Example prompts

  • "Get me the top 10 customers by total purchase amount."
  • "What products are out of stock?"
  • "Update the price of product ID 'XYZ' to $29.99."

Tips & gotchas

The agent needs access to a SQL database and appropriate credentials to function correctly. The complexity of queries it can handle will depend on its underlying implementation and may require careful prompt engineering for optimal results.