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Wechat Article Extractor

Listed
freestylefly·vlatest·writing

Extracts articles from WeChat posts, streamlining content gathering and analysis for research or monitoring purposes.

Repository

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 freestylefly/wechat-article-extractor-skill --skill wechat-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

freestylefly

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 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: feross.org, mmbiz.qpic.cn, open.weixin.qq.com, res.wx.qq.com, www.patreon.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

    github.comsource hostwww.patreon.comundeclaredfeross.orgundeclaredmmbiz.qpic.cnundeclaredres.wx.qq.comundeclaredopen.weixin.qq.comundeclared

    What it found (3 of 5)

    • package-lock.json:936contacts www.patreon.com
      "url": "https://www.patreon.com/feross"
    • package-lock.json:940contacts feross.org
      "url": "https://feross.org/support"
    • scripts/extract.js:201contacts mmbiz.qpic.cn
      if (script.includes('picture_page_info_list') && script.includes('https://mmbiz.qpic.cn')) {

  • 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 freestylefly/wechat-article-extractor-skill at d8f74b8946.

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

Commit
d8f74b8946
Manifest
SKILL.md
Scanned
7 files, 2,307 lines
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

What it does

This skill extracts structured article data from WeChat Official Account posts, converting unstructured web content into clean text or JSON formats suitable for AI agent processing. It handles the specific rendering quirks and nested structures often found in WeChat articles to ensure accurate data retrieval.

When to use it

  • You need to analyze the full text of a WeChat article that standard scrapers miss due to dynamic loading or complex DOM structures.
  • Your AI agent requires structured JSON output containing specific fields like title, author, publish date, and body content from WeChat sources.
  • You are building a workflow to aggregate insights from multiple WeChat Official Accounts into a central database or knowledge base.

Key capabilities

  • Extracts core article metadata including title, author name, publication time, and cover image URL.
  • Parses the main body text while filtering out navigation elements, ads, and unrelated widgets.
  • Returns data in flexible formats such as plain text or structured JSON objects for downstream processing.

Example prompts

  • "Extract the full article content and metadata from this WeChat link: [URL]"
  • "Convert the provided WeChat article into a JSON object with fields for title, author, date, and cleaned body text."
  • "Summarize the key points of this WeChat Official Account post after extracting its raw text."

Tips & gotchas

Ensure the input URL is a direct link to a published WeChat article page; preview links or search result snippets may not yield complete data. The skill relies on the current DOM structure of the target article, so formatting may vary if the source updates their rendering engine.