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Platform Database

Checked
ravnhq·vlatest·database

Connects to and queries various databases (SQL, NoSQL) via API, retrieving data for your 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 ravnhq/ai-toolkit --skill platform-database -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

ravnhq

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 ravnhq/ai-toolkit at e6237ae66e.

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

Commit
e6237ae66e
Manifest
skills/database/platform-database/SKILL.md
Scanned
42 files, 1,802 lines
Copies in repo
2 — all of them scanned
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 manage data within a database. It facilitates querying, updating, and potentially creating new entries based on user instructions. The agent can retrieve specific information or perform actions like adding customer records or modifying product details directly through the database interface.

When to use it

  • Customer Relationship Management (CRM): Retrieve customer contact information or update order statuses within a CRM system.
  • Inventory Management: Check stock levels of products and adjust quantities based on sales data.
  • Content Management Systems (CMS): Modify website content, such as updating article text or image links stored in a CMS database.
  • Data Analysis: Extract specific datasets for reporting or further analysis.

Key capabilities

  • Database querying
  • Data updates
  • Potential data creation

Example prompts

  • "Find all customers who placed an order last week."
  • "Update the price of product ID 123 to $29.99."
  • "Add a new customer with name 'Jane Doe' and email '[email protected]'."

Tips & gotchas

The skill requires appropriate database credentials (username, password, connection string) to be configured for proper functionality. Ensure the AI agent has the necessary permissions within the database to perform the requested actions.