SkillHub

mockdata

v3.0.0

Generate realistic fake data — names, emails, addresses — for testing and dev. Use when seeding databases, mocking API responses, creating sample records.

Sourced from ClawHub, Authored by bytesagain

Installation

Please help me install the skill `mockdata` from SkillHub official store. npx skills add bytesagain/mockdata

MockData — Mock Data Generator

Generate realistic random data for testing, development, and prototyping. Outputs names, emails, phone numbers, addresses, UUIDs, CSV files, and JSON records.

Commands

Command Description
name [count] Generate random full names (first + last, from 160+ name pool)
email [count] Generate random email addresses (realistic patterns with varied domains)
phone [count] Generate random US phone numbers (+1-XXX-XXX-XXXX format)
address [count] Generate random US street addresses with city, state, ZIP
uuid [count] Generate random UUID v4 values (from /dev/urandom)
csv <rows> <cols> Generate CSV with auto-typed columns (id, name, email, phone, city, score)
json [count] Generate JSON array of records with id, name, email, phone, age, city

Examples

# Generate 5 random names
mockdata name 5

# Generate 10 email addresses
mockdata email 10

# Generate UUIDs
mockdata uuid 3

# Generate a CSV file with 100 rows and 4 columns
mockdata csv 100 4 > test-data.csv

# Generate JSON records
mockdata json 5 > users.json

# Combine for seeding
mockdata json 50 > seed.json

Data Sources

  • Names: 80+ first names × 80+ last names (10,000+ combinations)
  • Emails: Varied patterns — first.last@, firstlast42@, flast@ across 10 domains
  • Phones: Random US format with valid area code ranges
  • Addresses: 20 street types × 20 cities × 20 states
  • UUIDs: Generated from /dev/urandom with proper v4 formatting

CSV Column Types

Columns cycle through these types based on position: 1. id (sequential) 2. name (random full name) 3. email (random email) 4. phone (random phone) 5. city (random city) 6. score (random 0-99)

Notes

  • All output goes to stdout — pipe to a file to save
  • JSON output is valid JSON (array of objects)
  • No external dependencies — uses bash builtins and /dev/urandom