Jrv Mock Data

通过命令行脚本按类型生成模拟数据（用户、姓名、邮箱、地址、电话、UUID、日期、Lorem、数值、颜色、URL、IP、自定义字段等），支持指定数量和多种输出格式（JSON、CSV、SQL INSERT、逐行），可设置随机种子并使用输出路径保存到文件，全程无需网络和密钥。

johnnywang2001

热度 80.76

最近更新 2026-05-11 17:33:24

分类：开发依赖：代码执行 / 读写文件应用场景：数据处理 / 自动化脚本 / 模板

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add jrv-mock-data

Metadata

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 — 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 <name>`	INSERT statements
Lines	`--format lines`	One value per line

Options

Flag	Description
`--count N`	Number of records (default: 1)
`--format <fmt>`	Output format: json, csv, sql, lines
`--table <name>`	Table name for SQL output
`--fields <list>`	Comma-separated fields for `record` type
`--seed N`	Random seed for reproducible output
`--output <file>`	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