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Datamol

Checked
ovachiever·vlatest·data

Datamol analyzes data to identify patterns and insights, helping users make informed decisions quickly and efficiently.

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 ovachiever/droid-tings --skill datamol -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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/datamol/SKILL.md
Scanned
7 files, 1,516 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 datamol skill provides access to a collection of data modeling tools and techniques. It can generate database schemas, create sample datasets based on provided descriptions, and assist in transforming existing data into more structured formats. This skill aims to simplify the process of working with data for various applications.

When to use it

  • You need to design a database schema for a new application or project.
  • You want to generate realistic sample data for testing purposes.
  • You have unstructured data and require assistance in organizing it into a structured format.
  • You're prototyping a data pipeline and need help with initial modeling steps.

Key capabilities

  • Database schema generation
  • Sample dataset creation
  • Data transformation support

Example prompts

  • "Create a database schema for an online bookstore, including tables for books, authors, and customers."
  • "Generate 10 sample customer records with names, email addresses, and purchase history."
  • "Help me transform this CSV data into a JSON format suitable for ingestion into a NoSQL database."

Tips & gotchas

The quality of the generated schema or data depends heavily on the clarity and detail provided in your prompts. Be as specific as possible when describing your requirements to achieve optimal results.