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Watermelondb

Checked
jchaselubitz·vlatest·other

Watermelondb allows you to easily query and analyze watermelon data for insights into flavor profiles and growing conditions.

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 jchaselubitz/drill-app --skill watermelondb -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

jchaselubitz

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 jchaselubitz/drill-app at 1070527074.

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

Commit
1070527074
Manifest
.claude/skills/watermelondb/SKILL.md
Scanned
2 files, 126 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 watermelondb skill provides a simple, in-memory database accessible to AI agents. It allows agents to store and retrieve key-value pairs, enabling them to persist information across interactions or tasks. This is useful for remembering user preferences, tracking progress through a workflow, or storing temporary data needed for complex reasoning.

When to use it

  • Remembering User Preferences: Store a user's preferred language or display settings.
  • Tracking Progress: Keep track of steps completed in a multi-stage process like booking travel.
  • Temporary Data Storage: Hold intermediate results during calculations or data processing.
  • Simple State Management: Maintain the state of an ongoing conversation or task.

Key capabilities

  • set(key, value): Stores a key-value pair in the database.
  • get(key): Retrieves the value associated with a given key.
  • In-memory storage (data is lost when the agent restarts).

Example prompts

  • "Set my preferred language to Spanish."
  • "What's my current step in the checkout process?"
  • "Store this calculation result as 'intermediate_total'."

Tips & gotchas

  • The database is volatile; data will be lost if the agent restarts. Consider using a more persistent storage solution for critical information.