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Generating Database Seed Data

Checked
jeremylongshore·vlatest·database·MIT

Helps with database, data as part of working with databases and data persistence workflows.

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 jeremylongshore/tons-of-skills-marketplace --skill generating-database-seed-data -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

jeremylongshore

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 jeremylongshore/claude-code-plugins-plus-skills at a7be181f58.

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

Commit
a7be181f58
Manifest
plugins/database/data-seeder-generator/skills/generating-database-seed-data/SKILL.md
Scanned
4 files, 120 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 generates seed data for databases. It can create realistic and varied data sets based on provided schemas, allowing developers to quickly populate new databases or test applications with representative data. The generated data adheres to the specified schema constraints and can include relationships between tables.

When to use it

  • Development Environments: Quickly populate a development database with sample data for testing purposes.
  • Demo Data: Generate realistic-looking data for product demos or presentations.
  • Database Testing: Create test datasets that cover various edge cases and scenarios.
  • Schema Validation: Verify the correctness of a database schema by generating data against it.

Key capabilities

  • Generates data based on provided database schemas.
  • Adheres to specified schema constraints (e.g., data types, required fields).
  • Creates relationships between tables in the seed data.

Example prompts

  • "Generate seed data for a 'users' table with 10 entries, including names, emails, and passwords."
  • "Create sample data for an e-commerce database, including products, categories, and orders."
  • "Populate a database schema with realistic customer data, ensuring proper formatting of addresses and phone numbers."

Tips & gotchas

The quality of the generated seed data depends heavily on the accuracy and completeness of the provided database schema. Ensure your schema accurately reflects the desired structure and constraints for optimal results.