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Databases

Checked
mrgoonie·vlatest·database

This skill allows you to query and manipulate data within various database systems, streamlining data access and analysis for informed decisions.

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 mrgoonie/claudekit-skills --skill databases -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

mrgoonie

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 mrgoonie/claudekit-skills at 80113d86bc.

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

Commit
80113d86bc
Manifest
.claude/skills/databases/SKILL.md
Scanned
18 files, 5,928 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

The databases skill enables AI agents to interact directly with database systems, allowing them to execute queries and manage data storage independently. It bridges the gap between natural language requests and structured data operations within various database environments.

When to use it

  • Retrieving specific records or aggregating data based on user-defined criteria.
  • Performing updates, insertions, or deletions when an agent needs to modify existing datasets.
  • Automating routine data maintenance tasks such as backups or schema validations.
  • Connecting disparate data sources to provide a unified view for analysis.

Key capabilities

  • Direct database connection management across supported systems.
  • Execution of SQL and NoSQL queries via natural language prompts.
  • Real-time data retrieval and manipulation without manual intervention.
  • Secure handling of sensitive data through integrated authentication protocols.

Example prompts

  • "Find all customers who have made purchases over $500 in the last month."
  • "Update the status of order ID 12345 to 'shipped' and notify the logistics team."
  • "Insert a new user record with the email '[email protected]' into the users table."

Tips & gotchas

Ensure your AI agent has proper read/write permissions configured before attempting data modifications. Always validate query results returned by the agent, especially when dealing with large datasets or critical business logic, to prevent unintended data loss.