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在 OpenClaw 中安装
/install lorem-toolkit
功能描述
Generate placeholder text, fake data, and test content including names, contacts, tech, finance, dates, JSON templates, and custom patterns.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install lorem-toolkit - 安装完成后，直接呼叫该 Skill 的名称或使用
/lorem-toolkit触发 - 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 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
元数据
常见问题
Lorem Toolkit 是什么？
Generate placeholder text, fake data, and test content including names, contacts, tech, finance, dates, JSON templates, and custom patterns. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 Lorem Toolkit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lorem-toolkit」即可一键安装，无需额外配置。
Lorem Toolkit 是免费的吗？
是的，Lorem Toolkit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Lorem Toolkit 支持哪些平台？
Lorem Toolkit 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 Lorem Toolkit？
由 darbling（@darbling）开发并维护，当前版本 v1.0.0。
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