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BytesAgain β€Ί Skills β€Ί Jrv Mock Data
πŸ¦€ ClawHub

Jrv Mock Data

by @johnnywang2001

Generate realistic fake/mock data for testing and development. Supports names, emails, addresses, phone numbers, UUIDs, dates, lorem ipsum, credit cards, com...

Versionv1.0.0
Downloads805
#legal#communication
TERMINAL
clawhub install jrv-mock-data

πŸ“– About This Skill

name: jrv-mock-data description: Generate realistic fake/mock data for testing and development. Supports names, emails, addresses, phone numbers, UUIDs, dates, lorem ipsum, credit cards, companies, and more. Output as JSON, CSV, or SQL INSERT statements.

jrv-mock-data

Generate realistic test data instantly β€” no API key, no network. Supports dozens of data types, bulk generation, and multiple output formats including JSON, CSV, and SQL.

Quick Start

# Generate 10 fake users as JSON
python3 scripts/mock_data.py user --count 10
Generate fake email addresses

python3 scripts/mock_data.py email --count 5
Generate addresses

python3 scripts/mock_data.py address --count 3
Generate a custom record with multiple fields

python3 scripts/mock_data.py record --fields "name,email,phone,company" --count 5
Output as CSV

python3 scripts/mock_data.py user --count 20 --format csv
Output as SQL INSERT

python3 scripts/mock_data.py user --count 10 --format sql --table users
Single values (no count)

python3 scripts/mock_data.py uuid
python3 scripts/mock_data.py name
python3 scripts/mock_data.py lorem --words 50
Save to file

python3 scripts/mock_data.py user --count 100 --format csv --output test_users.csv

Commands & Data Types

| Type | Description | Example Output | |------|-------------|----------------| | user | Full user record (name, email, phone, address) | {"name": "Jane Smith", "email": "jane@example.com", ...} | | name | Full name | "Marcus Rivera" | | email | Email address | "tmarcus@fakecorp.io" | | phone | US phone number | "(415) 555-0193" | | address | Street address | "1234 Oak Ave, Austin TX 78701" | | company | Company name | "Nexigen Solutions LLC" | | uuid | UUID v4 | "f47ac10b-58cc-..." | | date | Random date | "2024-07-15" | | datetime | Random datetime | "2024-07-15T14:23:00" | | lorem | Lorem ipsum text | "Lorem ipsum dolor sit amet..." | | number | Random integer | 42 | | float | Random float | 3.14159 | | bool | True/false | true | | color | Hex color | "#3a7bd5" | | url | Fake URL | "https://fakecorp.io/api/v1" | | ip | IPv4 address | "192.168.1.104" | | record | Custom fields combo | Use --fields name,email,phone |

Formats

| Format | Flag | Notes | |--------|------|-------| | JSON | --format json (default) | Pretty-printed array | | CSV | --format csv | With header row | | SQL | --format sql --table | INSERT statements | | Lines | --format lines | One value per line |

Options

| Flag | Description | |------|-------------| | --count N | Number of records (default: 1) | | --format | Output format: json, csv, sql, lines | | --table | Table name for SQL output | | --fields | Comma-separated fields for record type | | --seed N | Random seed for reproducible output | | --output | Write to file instead of stdout |

Use Cases

  • API testing: Seed databases with realistic-looking test records
  • UI prototyping: Fill mockups with plausible names and emails
  • QA automation: Generate test fixtures in CSV or JSON
  • SQL seeding: Ready-to-paste INSERT statements for dev databases
  • Load testing: Generate thousands of unique records instantly

    • ⚑ When to Use

    TriggerAction
    - **UI prototyping**: Fill mockups with plausible names and emails
    - **QA automation**: Generate test fixtures in CSV or JSON
    - **SQL seeding**: Ready-to-paste INSERT statements for dev databases
    - **Load testing**: Generate thousands of unique records instantly

    πŸ’‘ Examples

    # Generate 10 fake users as JSON
python3 scripts/mock_data.py user --count 10
    Generate fake email addresses
    
python3 scripts/mock_data.py email --count 5
    Generate addresses
    
python3 scripts/mock_data.py address --count 3
    Generate a custom record with multiple fields
    
python3 scripts/mock_data.py record --fields "name,email,phone,company" --count 5
    Output as CSV
    
python3 scripts/mock_data.py user --count 20 --format csv
    Output as SQL INSERT
    
python3 scripts/mock_data.py user --count 10 --format sql --table users
    Single values (no count)
    
python3 scripts/mock_data.py uuid
python3 scripts/mock_data.py name
python3 scripts/mock_data.py lorem --words 50
    Save to file
    
python3 scripts/mock_data.py user --count 100 --format csv --output test_users.csv

    βš™οΈ Configuration

    | Flag | Description | |------|-------------| | --count N | Number of records (default: 1) | | --format | Output format: json, csv, sql, lines | | --table | Table name for SQL output | | --fields | Comma-separated fields for record type | | --seed N | Random seed for reproducible output | | --output | Write to file instead of stdout |