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Sql

Checked
bonny·vlatest·database

This SQL skill allows you to generate and execute SQL queries for database interaction, streamlining data retrieval and manipulation tasks.

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 bonny/wordpress-simple-history --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

bonny

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 bonny/wordpress-simple-history at b9ea52e896.

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

Commit
b9ea52e896
Manifest
.claude/skills/sql/SKILL.md
Scanned
1 file, 50 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 execute SQL queries against databases. It can retrieve, insert, update, and delete data based on provided instructions. The agent can also generate SQL statements from natural language requests, simplifying database interaction for users without SQL expertise.

When to use it

  • Data Extraction: Retrieve specific information from a database, such as customer order history or product inventory levels.
  • Report Generation: Create custom reports by querying and aggregating data stored in a relational database.
  • Database Updates: Modify existing data within a database, like updating customer addresses or adjusting product prices.
  • Data Analysis: Perform basic analysis on database content to identify trends or patterns.

Key capabilities

  • SQL query execution
  • Natural language to SQL generation
  • Data retrieval (SELECT)
  • Data modification (INSERT, UPDATE, DELETE)

Example prompts

  • "Get me a list of all customers who placed an order in the last month."
  • "Update the price of product ID 123 to $19.99."
  • "Create a table called 'users' with columns for id, name, and email."

Tips & gotchas

  • Requires access to a database and appropriate credentials.
  • The agent’s SQL generation capabilities are dependent on the clarity and specificity of the natural language prompt.