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Agent Skill · 前端设计

article-extractor(文章提取器)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

article-extractor 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为可写文件;许可证为 MIT,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 6,985。

总安装 436周安装 18GitHub Stars 3下载 143核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:article-extractor(文章提取器)
来源仓库:https://github.com/drshailesh88/integrated_content_os
仓库路径:skills/article-extractor
安装命令:
npx skills add https://github.com/drshailesh88/integrated_content_os --skill article-extractor
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/drshailesh88/integrated_content_os --skill article-extractor

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

article-extractor 剥离网页冗余元素,提取纯净文章正文内容。自动过滤导航栏、广告与弹窗等非文本干扰项。article-extractor 属于前端设计类 Skill,可作为该场景下的辅助能力补充。优先使用 reader/trafilatura 工具链保证提取质量。

适用于知识库构建、文献摘要生成与内容归档场景。输出为标准文本格式便于后续 NLP 处理与本地保存。

来源仓库内路径:skills/article-extractor

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/drshailesh88/integrated_content_os --skill art…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要可写文件,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

article-extractor 怎么安装?

在终端执行 npx skills add https://github.com/drshailesh88/integrated_content_os --skill article-extra…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

article-extractor 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

article-extractor 需要什么权限?

权限级别是可写文件。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。

article-extractor 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

article-extractor 用的人多吗?

公开数据是累计安装 436 次,近一周安装 18 次,下载 143 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

article-extractor 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
article-extractor

文章提取器 · 本页

4363可写文件MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Article Extractor

This skill extracts the main content from web articles and blog posts, removing navigation, ads, newsletter signups, and other clutter. Saves clean, readable text.

When to Use This Skill

Activate when the user:

  • Provides an article/blog URL and wants the text content
  • Asks to "download this article"
  • Wants to "extract the content from [URL]"
  • Asks to "save this blog post as text"
  • Needs clean article text without distractions

How It Works

Priority Order:

  1. Check if tools are installed (reader or trafilatura)
  2. Download and extract article using best available tool
  3. Clean up the content (remove extra whitespace, format properly)
  4. Save to file with article title as filename
  5. Confirm location and show preview

Installation Check

Check for article extraction tools in this order:

Option 1: reader (Recommended - Mozilla's Readability)

command -v reader

If not installed:

npm install -g @mozilla/readability-cli
# or
npm install -g reader-cli

Option 2: trafilatura (Python-based, very good)

command -v trafilatura

If not installed:

pip3 install trafilatura

Option 3: Fallback (curl + simple parsing)

If no tools available, use basic curl + text extraction (less reliable but works)

Extraction Methods

Method 1: Using reader (Best for most articles)

# Extract article
reader "URL" > article.txt

Pros:

  • Based on Mozilla's Readability algorithm
  • Excellent at removing clutter
  • Preserves article structure

Method 2: Using trafilatura (Best for blogs/news)

# Extract article
trafilatura --URL "URL" --output-format txt > article.txt

# Or with more options
trafilatura --URL "URL" --output-format txt --no-comments --no-tables > article.txt

Pros:

  • Very accurate extraction
  • Good with various site structures
  • Handles multiple languages

Options:

  • --no-comments: Skip comment sections
  • --no-tables: Skip data tables
  • --precision: Favor precision over recall
  • --recall: Extract more content (may include some noise)

Method 3: Fallback (curl + basic parsing)

# Download and extract basic content
curl -s "URL" | python3 -c "
from html.parser import HTMLParser
import sys

class ArticleExtractor(HTMLParser):
    def __init__(self):
        super().__init__()
        self.in_content = False
        self.content = []
        self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside'}
        self.current_tag = None

    def handle_starttag(self, tag, attrs):
        if tag not in self.skip_tags:
            if tag in {'p', 'article', 'main', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6'}:
                self.in_content = True
        self.current_tag = tag

    def handle_data(self, data):
        if self.in_content and data.strip():
            self.content.append(data.strip())

    def get_content(self):
        return '\n\n'.join(self.content)

parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > article.txt

Note: This is less reliable but works without dependencies.

Getting Article Title

Extract title for filename:

Using reader:

# reader outputs markdown with title at top
TITLE=$(reader "URL" | head -n 1 | sed 's/^# //')

Using trafilatura:

# Get metadata including title
TITLE=$(trafilatura --URL "URL" --json | python3 -c "import json, sys; print(json.load(sys.stdin)['title'])")

Using curl (fallback):

TITLE=$(curl -s "URL" | grep -oP '<title>\K[^<]+' | sed 's/ - .*//' | sed 's/ | .*//')

Filename Creation

Clean title for filesystem:

# Get title
TITLE="Article Title from Website"

# Clean for filesystem (remove special chars, limit length)
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<' '' | tr '>' '' | tr '|' '-' | cut -c 1-100 | sed 's/ *$//')

# Add extension
FILENAME="${FILENAME}.txt"

Complete Workflow

ARTICLE_URL="https://example.com/article"

# Check for tools
if command -v reader &> /dev/null; then
    TOOL="reader"
    echo "Using reader (Mozilla Readability)"
elif command -v trafilatura &> /dev/null; then
    TOOL="trafilatura"
    echo "Using trafilatura"
else
    TOOL="fallback"
    echo "Using fallback method (may be less accurate)"
fi

# Extract article
case $TOOL in
    reader)
        # Get content
        reader "$ARTICLE_URL" > temp_article.txt

        # Get title (first line after # in markdown)
        TITLE=$(head -n 1 temp_article.txt | sed 's/^# //')
        ;;

    trafilatura)
        # Get title from metadata
        METADATA=$(trafilatura --URL "$ARTICLE_URL" --json)
        TITLE=$(echo "$METADATA" | python3 -c "import json, sys; print(json.load(sys.stdin).get('title', 'Article'))")

        # Get clean content
        trafilatura --URL "$ARTICLE_URL" --output-format txt --no-comments > temp_article.txt
        ;;

    fallback)
        # Get title
        TITLE=$(curl -s "$ARTICLE_URL" | grep -oP '<title>\K[^<]+' | head -n 1)
        TITLE=${TITLE%% - *}  # Remove site name
        TITLE=${TITLE%% | *}  # Remove site name (alternate)

        # Get content (basic extraction)
        curl -s "$ARTICLE_URL" | python3 -c "
from html.parser import HTMLParser
import sys

class ArticleExtractor(HTMLParser):
    def __init__(self):
        super().__init__()
        self.in_content = False
        self.content = []
        self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside', 'form'}

    def handle_starttag(self, tag, attrs):
        if tag not in self.skip_tags:
            if tag in {'p', 'article', 'main'}:
                self.in_content = True
        if tag in {'h1', 'h2', 'h3'}:
            self.content.append('\n')

    def handle_data(self, data):
        if self.in_content and data.strip():
            self.content.append(data.strip())

    def get_content(self):
        return '\n\n'.join(self.content)

parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > temp_article.txt
        ;;
esac

# Clean filename
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<>' '' | tr '|' '-' | cut -c 1-80 | sed 's/ *$//' | sed 's/^ *//')
FILENAME="${FILENAME}.txt"

# Move to final filename
mv temp_article.txt "$FILENAME"

# Show result
echo "✓ Extracted article: $TITLE"
echo "✓ Saved to: $FILENAME"
echo ""
echo "Preview (first 10 lines):"
head -n 10 "$FILENAME"

Error Handling

Common Issues

1. Tool not installed

  • Try alternate tool (reader → trafilatura → fallback)
  • Offer to install: "Install reader with: npm install -g reader-cli"

2. Paywall or login required

  • Extraction tools may fail
  • Inform user: "This article requires authentication. Cannot extract."

3. Invalid URL

  • Check URL format
  • Try with and without redirects

4. No content extracted

  • Site may use heavy JavaScript
  • Try fallback method
  • Inform user if extraction fails

5. Special characters in title

  • Clean title for filesystem
  • Remove: /, :, ?, ", <, >, |
  • Replace with - or remove

Output Format

Saved File Contains:

  • Article title (if available)
  • Author (if available from tool)
  • Main article text
  • Section headings
  • No navigation, ads, or clutter

What Gets Removed:

  • Navigation menus
  • Ads and promotional content
  • Newsletter signup forms
  • Related articles sidebars
  • Comment sections (optional)
  • Social media buttons
  • Cookie notices

Tips for Best Results

1. Use reader for most articles

  • Best all-around tool
  • Based on Firefox Reader View
  • Works on most news sites and blogs

2. Use trafilatura for:

  • Academic articles
  • News sites
  • Blogs with complex layouts
  • Non-English content

3. Fallback method limitations:

  • May include some noise
  • Less accurate paragraph detection
  • Better than nothing for simple sites

4. Check extraction quality:

  • Always show preview to user
  • Ask if it looks correct
  • Offer to try different tool if needed

Example Usage

Simple extraction:

# User: "Extract https://example.com/article"
reader "https://example.com/article" > temp.txt
TITLE=$(head -n 1 temp.txt | sed 's/^# //')
FILENAME="$(echo "$TITLE" | tr '/' '-').txt"
mv temp.txt "$FILENAME"
echo "✓ Saved to: $FILENAME"

With error handling:

if ! reader "$URL" > temp.txt 2>/dev/null; then
    if command -v trafilatura &> /dev/null; then
        trafilatura --URL "$URL" --output-format txt > temp.txt
    else
        echo "Error: Could not extract article. Install reader or trafilatura."
        exit 1
    fi
fi

Best Practices

  • ✅ Always show preview after extraction (first 10 lines)
  • ✅ Verify extraction succeeded before saving
  • ✅ Clean filename for filesystem compatibility
  • ✅ Try fallback method if primary fails
  • ✅ Inform user which tool was used
  • ✅ Keep filename length reasonable (< 100 chars)

After Extraction

Display to user:

  1. "✓ Extracted: [Article Title]"
  2. "✓ Saved to: [filename]"
  3. Show preview (first 10-15 lines)
  4. File size and location

Ask if needed:

  • "Would you like me to also create a Ship-Learn-Next plan from this?" (if using ship-learn-next skill)
  • "Should I extract another article?"

平台分布

Claude Code

33.12%
按下载量换算47

OpenCode

23.74%
按下载量换算34

Antigravity

18.22%
按下载量换算26

Gemini CLI

12.59%
按下载量换算18

windsurf

7.32%
按下载量换算10

Codex

3.34%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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