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Web Article Extractor

Listed
dongbeixiaohuo·vlatest·writing·MIT

Extracts key information, summaries, and relevant data from web articles based on user prompts.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dongbeixiaohuo/writing-agent --skill web-article-extractor -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dongbeixiaohuo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: code.google.com, mobile.slate.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    www.apache.orgstandardscode.google.comundeclaredmobile.slate.comundeclared

    What it found (3 of 6)

    • .claude/skills/web-article-extractor/scripts/Readability.js:19contacts code.google.com
      * available at: http://code.google.com/p/arc90labs-readability
    • claude-runtime/skills/web-article-extractor/scripts/Readability.js:19contacts code.google.com
      * available at: http://code.google.com/p/arc90labs-readability
    • plugins/writing-agent/skills/web-article-extractor/scripts/Readability.js:19contacts code.google.com
      * available at: http://code.google.com/p/arc90labs-readability
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dongbeixiaohuo/writing-agent at ca01dcf989.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
51 files, 12,885 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The web-article-extractor skill retrieves and processes full text from specified URLs, converting raw HTML into clean, readable article content for AI agents. It is designed to strip away navigation menus, ads, and boilerplate code to deliver only the core narrative or data within a webpage.

When to use it

  • Research synthesis: Quickly gather context from multiple news articles or research papers before summarizing them.
  • Data extraction: Pull specific text blocks from documentation sites or blogs to feed into analysis workflows.
  • Content auditing: Retrieve full versions of web pages to verify accuracy against cached or summarized versions.
  • Cross-referencing: Fetch related articles from different domains to build a comprehensive knowledge base for complex queries.

Key capabilities

  • Fetches content directly from provided URLs.
  • Parses HTML to remove non-essential elements like headers, footers, and scripts.
  • Returns clean text suitable for further processing by AI agents.

Example prompts

  • "Extract the main article text from https://example.com/blog/latest-updates and summarize the key points."
  • "Use web-article-extractor to get the full content of this documentation page so I can answer a user's technical question accurately."
  • "Retrieve the text from these three URLs about market trends and compare their perspectives on inflation."

Tips & gotchas

Ensure the target URL is publicly accessible and not behind a login wall, as the tool cannot bypass authentication. For best results, provide direct links to specific article pages rather than homepage URLs to minimize irrelevant content extraction.