mockdata

name	MockData
description	Generate realistic fake data — names, emails, addresses — for testing and dev. Use when seeding databases, mocking API responses, creating sample records.
version	3.0.0
author	BytesAgain
homepage	https://bytesagain.com
source	https://github.com/bytesagain/ai-skills
tags	["mock","fake","data","generator","testing","development","faker","sample"]
categories	["Developer Tools","Utility"]

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