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article-extractor文章提取器

Agent Skill

article-extractor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

364

周安装

15

GitHub Stars

10

下载量

119
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

2

许可证

unknown

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:article-extractor(文章提取器)
来源仓库:https://github.com/founderjourney/claude-skills
仓库路径:skills/article-extractor
安装命令:
npx skills add https://github.com/founderjourney/claude-skills --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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/founderjourney/claude-skills --skill article-extractor

简介

article-extractor 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据任务场景定位内容。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Article Extractor Skill

This skill extracts clean article content from web URLs, removing ads, navigation, sidebars, and other clutter to save readable text files.

When to Use This Skill

  • Downloading article text from a URL
  • Saving blog posts as clean text
  • Removing distractions from web articles
  • Archiving content for offline reading
  • Extracting content for research
  • Creating a local reading library

How to Use

Basic Extraction

Extract the article from https://example.com/article

Save to Specific Location

Extract this article and save to ~/reading/
https://example.com/interesting-post

Multiple Articles

Extract these articles:
- https://example.com/post-1
- https://example.com/post-2
- https://example.com/post-3

Extraction Methods

The skill uses multiple tools in priority order:

1. Reader (Mozilla Readability)

  • Uses Firefox Reader View algorithm
  • Excellent at removing clutter
  • Preserves article structure

2. Trafilatura (Python)

  • Very accurate extraction
  • Works great for blogs and news
  • Options: --no-comments, --precision

3. Fallback (curl + parsing)

  • No dependencies required
  • Basic HTML parsing
  • Less reliable but always works

What Gets Preserved

  • Article text and paragraphs
  • Section headings
  • Author information
  • Publication date
  • Article structure

What Gets Removed

  • Navigation bars
  • Advertisements
  • Newsletter signup forms
  • Sidebars
  • Comments sections
  • Social sharing buttons
  • Cookie notices
  • Related article widgets

Filename Generation

Files are named based on:

  1. Article title (cleaned)
  2. Special characters removed (/,:,?, ", <, >, |)
  3. Length limited to 80-100 characters
  4. Extension: .txt

Example:

"How to Build a Great Product: A Guide"
  → "How to Build a Great Product - A Guide.txt"

Output Format

After extraction:

Title: [Article Title]
Author: [Author Name]
Date: [Publication Date]
Source: [Original URL]

---

[Clean article content...]

Error Handling

The skill handles:

  • Paywalled content: Extracts available preview
  • Missing tools: Falls back to alternatives
  • Invalid URLs: Provides clear error message
  • Failed extraction: Suggests manual copy
  • Filename issues: Auto-sanitizes problematic characters

Advanced Options

With Metadata Only

Extract just the title and author from this URL

Specific Format

Extract this article as markdown

Research Mode

Extract and summarize the key points from this article

Best Practices

  1. Check Output: Always verify extraction quality
  2. Save Originals: Keep the source URL for reference
  3. Organize Files: Use meaningful folder structures
  4. Batch Processing: Extract multiple related articles together
  5. Respect Copyright: Use for personal research only

Dependencies

For best results, install:

# Mozilla Readability
npm install -g @nicolo-ribaudo/readability-cli

# Or Trafilatura (Python)
pip install trafilatura

Without dependencies, the skill uses fallback methods.

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

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

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

Codex

37.31%
按下载量换算44

Claude

29.04%
按下载量换算35

Cursor

17.43%
按下载量换算21

Gemini CLI

9.01%
按下载量换算11

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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