微信文章抓取器 - 安全版

使用 Puppeteer + Chrome 无头模式抓取微信公众号文章，支持移动端伪装，提取全文及元信息并自动保存文本。

Security Scan

The skill's code, docs, and declared capabilities are coherent with its stated purpose (local Puppeteer-based WeChat article scraping); no signs of intentional misdirection or unrelated credential requests were found.

Purpose & Capability

Name/description (WeChat article fetcher) match the code and package.json: it uses puppeteer-core + local Chrome, opens the article URL, extracts text/metadata, and optionally downloads images. Declared capabilities (file_read, file_write, exec, browser) are appropriate for the task.

Instruction Scope

SKILL.md instructions stick to launching the script and running Puppeteer. One important caveat: the README/SKILL.md claim '不发送数据到任何外部服务器' is somewhat misleading — the skill necessarily connects to the provided mp.weixin.qq.com URL and to remote image hosts, and page JavaScript executed in the loaded page can make additional network requests. The instructions do not ask the agent to read unrelated files or environment variables.

Install Mechanism

There is no formal install spec in the skill metadata, but package.json declares puppeteer-core. Installation requires running npm install locally (as documented). puppeteer-core does not bundle Chromium, so a local Chrome is required (the script auto-detects common paths). No downloads from unknown personal servers or URL shorteners were observed in the code.

Credentials

The skill requests no environment variables or credentials. It only needs access to a local Chrome binary and filesystem write access to save outputs — both are proportionate to its purpose.

Persistence & Privilege

always: false and normal agent invocation. The skill does not request permanent/global presence or attempt to modify other skills. File write and exec permissions are expected for saving results and launching Chrome.

Assessment

This skill appears to do what it claims: locally launch Chrome via puppeteer-core, render a WeChat article, extract content, and save files. Before installing, note: (1) you must run npm install (puppeteer-core) and have a compatible local Chrome installed — puppeteer-core does not ship Chromium; (2) the tool will connect to the article URL and download images from whichever hosts the page references (page scripts may also trigger additional network activity), so the SKILL.md phrase 'no data sent to external servers' only means the skill doesn't exfiltrate additional private data deliberately; it still fetches remote page resources as part of scraping; (3) run this in a normal user account (avoid elevated privileges) and review the code if you plan to run it on sensitive systems; (4) if you want stricter network controls, run it in an isolated environment or sandbox to limit outgoing connections. Overall the package is internally consistent and not suspicious.

WeChat Article Fetcher - 微信文章抓取技能

使用 Puppeteer + Chrome 本地提取微信公众号文章内容。

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📋 技能信息

字段	值
技能名称	wechat-article-fetcher-safe
版本	2.0.0
作者	@Adgai115
创建时间	2026-03-21
更新时间	2026-04-22
适用场景	微信公众号文章内容提取
技术栈	Node.js + Puppeteer + Chrome
仓库	https://github.com/Adgai115/wechat-article-fetcher-safe

---

🎯 功能

✅ 支持

• 微信公众号文章全文提取
• 文章元信息获取（标题、作者、时间）
• 文章图片下载保存（原图下载 + Markdown 嵌入链接）
• 移动端 User-Agent 适配
• JavaScript 渲染页面支持
• 输出格式：Markdown / 纯文本 / HTML
• 自动保存为文件
• 错误处理和超时保护

❌ 不支持

• 需要登录的文章
• 付费阅读内容
• 图片内文字 OCR 识别（仅下载图片原文件）

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📦 安装

1. 确认环境

node -v  # 需要 v18+

2. 安装依赖

cd wechat-article-fetcher-safe
npm install

3. Chrome 路径

脚本会自动检测 Chrome 路径。如检测失败，修改脚本中的 chromePath。

Windows 标准路径：

C:\Program Files\Google\Chrome\Application\chrome.exe

---

🚀 使用方法

命令行

node fetch-wechat-article.js https://mp.weixin.qq.com/s/xxx

作为 OpenClaw Skill 调用

const { fetchWechatArticle } = require('./fetch-wechat-article');

const result = await fetchWechatArticle({
  url: 'https://mp.weixin.qq.com/s/xxx',
  saveToFile: true,
  outputDir: './output'
});

console.log(result.title);
console.log(result.content);

---

📝 输出示例

========== 文章信息 ==========

标题：文章标题
作者：公众号名称
时间：发布日期

========== 文章内容 ==========

（正文内容）

========== 文章结束 ==========

内容已保存到：./article-wechat-xxxxx.txt

---

🔑 核心实现

1. Chrome 无头模式

const browser = await puppeteer.launch({
  executablePath: chromePath,
  headless: true,
  args: ['--no-sandbox', '--disable-gpu']
});

2. 移动端 User-Agent

await page.setUserAgent('Mozilla/5.0 (iPhone; CPU iPhone OS 15_0 ...) MicroMessenger/8.0.0');
await page.setViewport({ width: 375, height: 812 });

3. 内容提取

const articleData = await page.evaluate(() => {
  const title = document.querySelector('#activity-name')?.innerText;
  const content = document.querySelector('#js_content')?.innerText;
  return { title, content };
});

---

⚠️ 常见问题

找不到 Chrome

脚本会自动检测以下路径：

• C:\Program Files\Google\Chrome\Application\chrome.exe
• C:\Program Files (x86)\Google\Chrome\Application\chrome.exe
• /usr/bin/google-chrome
• /Applications/Google Chrome.app/Contents/MacOS/Google Chrome

提取内容为空

1. 文章可能需要登录
2. 增加等待时间：await page.waitForSelector('#js_content', { timeout: 30000 })

---

📁 文件结构

wechat-article-fetcher-safe/
├── SKILL.md                    # 技能文档（本文件）
├── fetch-wechat-article.js     # 主脚本
├── package.json                # npm 配置
├── README.md                   # 快速入门
└── README.github.md            # GitHub 展示文档

---

🔒 隐私说明

• 所有操作在本地完成
• 不发送数据到任何外部服务器
• 不收集用户信息
• 源代码完全公开可审查

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📝 更新日志

v2.0.0 (2026-04-22)

• 清理冗余文件
• 更新仓库地址
• 移除不必要的 OCR 依赖
• 优化文档

v1.1.0 (2026-03-25)

• 重命名为安全版 (safe)
• 优化正文提取和失败识别
• 自动探测 Chrome 路径

v1.0.0 (2026-03-21)

• 初始版本

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📄 许可证

MIT-0 (MIT No Attribution)

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仓库：https://github.com/Adgai115/wechat-article-fetcher-safe 维护者：@Adgai115 最后更新：2026-04-22