Lorem Toolkit

Generate placeholder text, fake data, and test content including names, contacts, tech, finance, dates, JSON templates, and custom patterns.

Security Scan

The skill's code and runtime instructions match its stated purpose (generating lorem and fake/test data); it has no external dependencies, no network calls, and requests no credentials or special privileges.

Purpose & Capability

Name and description (placeholder text, fake data, JSON templates, custom patterns) match the included SKILL.md and the provided Python script. All functions (names, emails, phones, IPs, dates, UUIDs, pattern generator, JSON user generator) are appropriate for the stated purpose.

Instruction Scope

SKILL.md instructs only on generating test content and examples. The runtime instructions and the script operate locally and do not reference reading unrelated files, environment variables, or communicating with external endpoints.

Install Mechanism

No install spec; this is instruction-only with a bundled Python script that uses only the standard library. No downloads, no archive extraction, and no external package installs are required.

Credentials

No required environment variables, credentials, or config paths are declared or accessed. The script does not read environment variables or require secrets.

Persistence & Privilege

always is false, the skill does not request persistent or elevated presence, and it does not modify other skills or system configuration.

Assessment

This skill appears coherent and self-contained: it generates fake/test data locally using Python standard library only. If you plan to use it, ensure you run it with a trusted Python interpreter (3.6+). If the source provenance matters, you can verify the linked GitHub repo (https://github.com/darbling/clawhub-skills) and review the script yourself — the included code is short and readable and shows no network or credential access. As always, avoid feeding real sensitive data into test generators and inspect any third-party skill before granting it broad agent privileges.

Author: Lin Hui | GitHub | MIT License | v1.0.0

Generate placeholder text and fake data for development, testing, and design mockups. Never hardcode "test123" again.

✨ Features

• Lorem Ipsum — Paragraphs, sentences, or words in classic Latin
• Names — Random first/last/full names (Western and Chinese)
• Contact — Emails, phone numbers, addresses
• Tech — IP addresses, MAC addresses, URLs, user agents, MIME types
• Finance — Credit card patterns, IBANs, currency amounts
• Date/Time — Random dates, timestamps, ISO 8601 strings
• JSON — Generate JSON from templates with fake data
• Custom — Define your own patterns (e.g., "USER-####-XXXX")

🚀 Usage

Generate 3 paragraphs of lorem ipsum text

Generate 5 random email addresses

Create a JSON template with 10 fake user objects (name, email, age, city)

Generate 20 random dates in 2025

Generate 5 entries matching pattern "ORD-####-XXXX"

⚙️ Technical Details

• Runtime: Python 3.6+
• Dependencies: Zero (stdlib only: random, string, datetime, json)
• Locales: English names, Chinese names
• Output formats: Plain text, JSON, CSV