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Sql

Checked
g1joshi·vlatest·database·MIT

This SQL skill lets you generate SQL queries from natural language prompts, simplifying database interaction and analysis for users of all levels.

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 g1joshi/agent-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

g1joshi

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 g1joshi/agent-skills at 6a74cf03a8.

    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 an AI agent to interact with and query SQL databases. It can execute SQL statements, retrieve data based on specified criteria, and potentially perform basic database management tasks. The agent can be used for data extraction, analysis, or reporting directly from a database.

When to use it

  • Data Extraction: Retrieve specific information from a database, such as customer names and addresses matching certain criteria.
  • Report Generation: Generate summaries of data stored in the database, like total sales by region.
  • Database Analysis: Analyze data trends or patterns within a database based on user requests.
  • Data Validation: Verify data integrity by executing queries to check for inconsistencies or errors.

Key capabilities

  • Execute SQL statements
  • Retrieve data from databases
  • Query data based on specified criteria

Example prompts

  • "Get me the names of all customers in California."
  • "What were the total sales last quarter?"
  • "Show me a list of products with a price greater than $50."

Tips & gotchas

The agent requires access to a SQL database and appropriate credentials. The skill's effectiveness depends on the quality and structure of the underlying data within the database.