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johnnywang2001

Jrv Mock Data

作者 John Wang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install jrv-mock-data
功能描述
Generate realistic fake/mock data for testing and development. Supports names, emails, addresses, phone numbers, UUIDs, dates, lorem ipsum, credit cards, com...
使用说明 (SKILL.md)

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": "[email protected]", ...}
name Full name "Marcus Rivera"
email Email address "[email protected]"
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 \x3Cname> INSERT statements
Lines --format lines One value per line

Options

Flag Description
--count N Number of records (default: 1)
--format \x3Cfmt> Output format: json, csv, sql, lines
--table \x3Cname> Table name for SQL output
--fields \x3Clist> Comma-separated fields for record type
--seed N Random seed for reproducible output
--output \x3Cfile> 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
安全使用建议
This skill is self-contained and appears safe to run locally: it generates fake names, emails, addresses, UUIDs, etc., and does not call the network or request secrets. Before installing/using: (1) note the documentation mentions credit-card generation but the code does not include it — ask the author if you need that feature; (2) avoid seeding production systems with this synthetic data where it could be mistaken for real user data, and do not mix generated records with real PII; (3) inspect any future versions for added network calls or requests for credentials before trusting them; and (4) run the script in a restricted/dev environment if you want extra caution.
功能分析
Type: OpenClaw Skill Name: jrv-mock-data Version: 1.0.0 The skill bundle is a straightforward utility for generating mock data (names, emails, addresses, etc.) for testing purposes. The Python script (scripts/mock_data.py) uses only standard libraries, contains no network or suspicious file system calls, and the instructions in SKILL.md are purely descriptive of the tool's functionality without any prompt injection attempts.
能力评估
ℹ Purpose & Capability
Name/description (mock data generator) matches the shipped code: a single Python script with many field generators and output formatters. One small inconsistency: the top-level description and brief header mention credit cards, but I do not see any credit card generator in the code or the documented data-type table. This looks like a documentation mismatch rather than malicious behavior.
✓ Instruction Scope
SKILL.md instructs running the included script (python3 scripts/mock_data.py) with flags and saving output; the script only reads its arguments and writes output (stdout/file). There are no instructions to read unrelated files, environment variables, or to send data to external endpoints.
✓ Install Mechanism
No install spec — instruction-only skill with a bundled script. No downloads, package installs, or archive extraction. Running the script runs local Python only.
✓ Credentials
No required environment variables, no credentials, and the script does not access environment-specific config. The requested capabilities are proportional to a local mock-data generator.
✓ Persistence & Privilege
always is false and model invocation is normal. The skill does not request persistent system changes or modify other skills/configs.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install jrv-mock-data
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /jrv-mock-data 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — instantly generate realistic fake data for testing and development: - Supports generating names, emails, addresses, phone numbers, UUIDs, dates, companies, lorem ipsum, credit cards, and more. - Bulk data generation with flexible record customization (choose fields). - Multiple output formats: JSON, CSV, SQL INSERT statements, or line-separated values. - Command-line flags for count, field selection, output file, format, custom SQL table name, and random seed. - Works offline, no API key or external service required.
元数据
Slug jrv-mock-data
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Jrv Mock Data 是什么？

Generate realistic fake/mock data for testing and development. Supports names, emails, addresses, phone numbers, UUIDs, dates, lorem ipsum, credit cards, com... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 164 次。

如何安装 Jrv Mock Data？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install jrv-mock-data」即可一键安装，无需额外配置。

Jrv Mock Data 是免费的吗？

是的，Jrv Mock Data 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Jrv Mock Data 支持哪些平台？

Jrv Mock Data 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Jrv Mock Data？

由 John Wang（@johnnywang2001）开发并维护，当前版本 v1.0.0。

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