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Install in OpenClaw
/install lorem-toolkit
Description
Generate placeholder text, fake data, and test content including names, contacts, tech, finance, dates, JSON templates, and custom patterns.
README (SKILL.md)
📝 Lorem Toolkit
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
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: lorem-toolkit
Version: 1.0.0
The lorem-toolkit skill is a standard utility for generating placeholder text and mock data (names, emails, IPs, etc.). The implementation in scripts/lorem_tool.py relies exclusively on Python's standard library (random, string, json) and contains no networking, file system access, or execution of external commands. The SKILL.md instructions are purely descriptive and align with the tool's stated purpose.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install lorem-toolkit - After installation, invoke the skill by name or use
/lorem-toolkit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of lorem-toolkit.
- Generate placeholder text (lorem ipsum) and fake data for development, testing, and mockups
- Supports random names (Western and Chinese), emails, addresses, phone numbers, dates, UUIDs, and more
- Create data in multiple formats: plain text, JSON, and CSV
- Entirely dependency-free (pure Python, standard library only)
- Flexible: use built-in patterns or specify custom data templates
Metadata
Frequently Asked Questions
What is Lorem Toolkit?
Generate placeholder text, fake data, and test content including names, contacts, tech, finance, dates, JSON templates, and custom patterns. It is an AI Agent Skill for Claude Code / OpenClaw, with 63 downloads so far.
How do I install Lorem Toolkit?
Run "/install lorem-toolkit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Lorem Toolkit free?
Yes, Lorem Toolkit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Lorem Toolkit support?
Lorem Toolkit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Lorem Toolkit?
It is built and maintained by darbling (@darbling); the current version is v1.0.0.
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