Token导航 LogoToken导航TokenDH.com
运维和基础设施可写文件github未标认证来源可访问clear审计通过

lorem-ipsum-generatorlorem ipsum 生成器

Agent Skill

lorem-ipsum-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,272

周安装

53

GitHub Stars

53

下载量

424
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lorem-ipsum-generator(lorem ipsum 生成器)
来源仓库:https://github.com/dkyazzentwatwa/chatgpt-skills
仓库路径:skills/lorem-ipsum-generator
安装命令:
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill lorem-ipsum-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill lorem-ipsum-generator

简介

lorem-ipsum-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 适用于代码协作管理、仓库状态跟踪和 Issue/PR 处理等开发辅助场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和实际维护状态后再使用。
  • 使用前应检查是否会触发联网、命令执行或文件读写操作,避免在不安全环境中运行。
  • 建议结合原始 README 和仓库内容进一步核验具体用法和功能边界。

SKILL.md

Lorem Ipsum Generator

Generate placeholder text for mockups, wireframes, and testing purposes.

Features

  • Classic Lorem: Traditional lorem ipsum text
  • Multiple Formats: Paragraphs, sentences, words, lists
  • Custom Length: Specify exact word/sentence/paragraph counts
  • HTML Output: Generate with HTML tags
  • Alternative Sources: Hipster, bacon, corporate ipsum variations
  • Templates: Fill templates with placeholder text

Quick Start

from lorem_gen import LoremGenerator

gen = LoremGenerator()

# Generate paragraphs
text = gen.paragraphs(3)
print(text)

# Generate sentences
sentences = gen.sentences(5)
print(sentences)

# Generate words
words = gen.words(50)
print(words)

CLI Usage

# Generate 3 paragraphs
python lorem_gen.py --paragraphs 3

# Generate 5 sentences
python lorem_gen.py --sentences 5

# Generate 100 words
python lorem_gen.py --words 100

# HTML output
python lorem_gen.py --paragraphs 3 --html

# Generate bullet list
python lorem_gen.py --list 5

# Generate with specific word count per paragraph
python lorem_gen.py --paragraphs 3 --words-per 50

# Alternative style
python lorem_gen.py --paragraphs 3 --style hipster

# Save to file
python lorem_gen.py --paragraphs 5 --output placeholder.txt

API Reference

LoremGenerator Class

class LoremGenerator:
    def __init__(self, style: str = "classic")

    # Basic generation
    def paragraphs(self, count: int = 3, words_per: int = None) -> str
    def sentences(self, count: int = 5) -> str
    def words(self, count: int = 50) -> str

    # Structured output
    def list_items(self, count: int = 5, ordered: bool = False) -> str
    def heading(self, level: int = 1) -> str
    def title(self, words: int = 4) -> str

    # HTML output
    def html_paragraphs(self, count: int = 3) -> str
    def html_list(self, count: int = 5, ordered: bool = False) -> str
    def html_article(self, sections: int = 3) -> str

    # Templates
    def fill_template(self, template: str) -> str

    # Configuration
    def set_style(self, style: str) -> 'LoremGenerator'

Output Formats

Paragraphs

text = gen.paragraphs(2)

# Output:
# Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do
# eiusmod tempor incididunt ut labore et dolore magna aliqua.
#
# Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris
# nisi ut aliquip ex ea commodo consequat.

Sentences

text = gen.sentences(3)

# Output:
# Lorem ipsum dolor sit amet. Consectetur adipiscing elit. Sed do eiusmod tempor.

Words

text = gen.words(10)

# Output:
# Lorem ipsum dolor sit amet consectetur adipiscing elit sed do

Lists

# Unordered list
text = gen.list_items(3)
# - Lorem ipsum dolor sit amet
# - Consectetur adipiscing elit
# - Sed do eiusmod tempor

# Ordered list
text = gen.list_items(3, ordered=True)
# 1. Lorem ipsum dolor sit amet
# 2. Consectetur adipiscing elit
# 3. Sed do eiusmod tempor

HTML Output

HTML Paragraphs

html = gen.html_paragraphs(2)

# <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit.</p>
# <p>Sed do eiusmod tempor incididunt ut labore.</p>

HTML List

html = gen.html_list(3, ordered=False)

# <ul>
#   <li>Lorem ipsum dolor sit amet</li>
#   <li>Consectetur adipiscing elit</li>
#   <li>Sed do eiusmod tempor</li>
# </ul>

HTML Article

html = gen.html_article(sections=2)

# <article>
#   <h1>Lorem Ipsum Dolor</h1>
#   <p>Lorem ipsum dolor sit amet...</p>
#   <h2>Consectetur Adipiscing</h2>
#   <p>Ut enim ad minim veniam...</p>
# </article>

Text Styles

Classic Lorem Ipsum

Traditional Latin placeholder text:

gen = LoremGenerator(style="classic")

Hipster Ipsum

Trendy, modern vocabulary:

gen = LoremGenerator(style="hipster")
# "Artisan cold-pressed pour-over, sustainable raw denim..."

Corporate Ipsum

Business jargon:

gen = LoremGenerator(style="corporate")
# "Leverage agile frameworks to provide robust synopsis..."

Tech Ipsum

Technology-focused text:

gen = LoremGenerator(style="tech")
# "API endpoints serverless microservices kubernetes..."

Templates

Fill templates with placeholder text:

template = """
# {{title}}

{{paragraph}}

## Features

{{list:5}}

## Details

{{paragraph}}
{{paragraph}}
"""

result = gen.fill_template(template)

Template Placeholders

PlaceholderOutput
{{title}}3-5 word title
{{heading}}Section heading
{{paragraph}}Single paragraph
{{sentence}}Single sentence
{{words:N}}N words
{{list:N}}N list items
{{name}}Random name
{{email}}Random email
{{date}}Random date

Specific Word Counts

Control exact word count per paragraph:

# Each paragraph will have exactly 50 words
text = gen.paragraphs(3, words_per=50)

# Generate exactly 200 words
text = gen.words(200)

Example Workflows

Mockup Text Generation

gen = LoremGenerator()

# Generate blog post mockup
title = gen.title(words=6)
intro = gen.paragraphs(1, words_per=100)
body = gen.paragraphs(3, words_per=150)
conclusion = gen.paragraphs(1, words_per=75)

print(f"# {title}\n\n{intro}\n\n{body}\n\n{conclusion}")

HTML Page Content

gen = LoremGenerator()

html = f"""
<!DOCTYPE html>
<html>
<body>
  <header>
    <h1>{gen.title()}</h1>
  </header>
  <main>
    {gen.html_paragraphs(3)}
    <h2>Features</h2>
    {gen.html_list(5)}
    {gen.html_paragraphs(2)}
  </main>
</body>
</html>
"""

Test Data Generation

gen = LoremGenerator()

# Generate test articles
articles = []
for i in range(10):
    articles.append({
        "title": gen.title(),
        "excerpt": gen.sentences(2),
        "body": gen.paragraphs(5),
        "tags": gen.words(3).split()
    })

Dependencies

  • faker>=22.0.0 (optional, for enhanced fake data)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

25.76%
按下载量换算109

Claude Code

24.3%
按下载量换算103

Codex

16.08%
按下载量换算68

Gemini CLI

12.21%
按下载量换算52

Antigravity

8.23%
按下载量换算35

windsurf

3.85%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

继续浏览同类 Skills