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Agent Skill · 研究检索

wxmp-reader(wxmp 阅读器)

wxmp-reader 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

wxmp-reader 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 10,763。

总安装 12,136周安装 516GitHub Stars 公开资料未说明下载 4,252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-0
版本
1.0.0

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:wxmp-reader(wxmp 阅读器)
来源仓库:https://github.com/reedchan7/wxmp-reader
安装命令:
openclaw skills install wxmp-reader
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install wxmp-reader

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

绕过反爬机制提取微信公众号文章全文内容。自动解析标题、作者与发布时间等元数据。适用于资讯摘要与信息归档需求。wxmp-reader 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install wxmp-reader。

注意规避高频请求导致 IP 封禁,尊重原创版权声明。

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 OpenClaw;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 openclaw skills install wxmp-reader;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

    它需要操作浏览器,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

wxmp-reader 怎么安装?

在终端执行 openclaw skills install wxmp-reader。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

wxmp-reader 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

wxmp-reader 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

wxmp-reader 是免费的吗?

来源标注的许可证是 MIT-0。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。

wxmp-reader 用的人多吗?

公开数据是累计安装 12,136 次,近一周安装 516 次,下载 4,252 次。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。

wxmp-reader 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
wxmp-reader

wxmp 阅读器 · 本页

12,136—操作浏览器MIT-0有提醒

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

name
wechat-article-reader
description
Read and summarize WeChat Official Account articles (微信公众号文章) by URL. Bypasses WeChat's anti-bot detection to extract full article text, title, author, date, and optionally capture a full-page screenshot with lazy-loaded images. Use when a user shares a mp.weixin.qq.com link and asks to read, summarize, analyze, or screenshot it.

WeChat Article Reader

Read and summarize WeChat Official Account articles that web_fetch and standard headless browsers cannot access.

Recommended Workflow

When a user shares a WeChat article link:

  1. Fetch text — node scripts/fetch_wechat.js <url> --json (required)
  2. Take screenshot — node scripts/screenshot_wechat.js <url> --out=/tmp/wechat_article.png (best-effort, run in parallel with step 1)
  3. Send screenshot — message(action=send, media=/tmp/wechat_article.png) if step 2 succeeded; skip silently if it failed
  4. Send summary — text summary following the output format below
  5. Clean up — delete the temporary screenshot file

Steps 1 and 2 can run in parallel. The screenshot is recommended but not mandatory — if it fails (timeout, rendering issue, etc.), proceed with the text summary only. Do not block the response waiting for a screenshot that may never succeed.

Why Standard Methods Fail

WeChat blocks bots by checking four signals. This skill defeats all four:

SignalStandard browserThis skill
Chrome binaryChromium (bot fingerprint)Real Chrome
User-AgentDesktop/headlessiPhone Safari
navigator.webdrivertrue (exposed)undefined (hidden)
Blink automation flagPresentDisabled

Prerequisites

Two dependencies are required. The scripts auto-detect their paths but do NOT auto-install them.

1. Google Chrome (stable)

# Check
which google-chrome-stable

# Install (Debian/Ubuntu)
wget -q -O - https://dl.google.com/linux/linux_signing_key.pub | apt-key add -
echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" > /etc/apt/sources.list.d/google-chrome.list
apt-get update && apt-get install -y google-chrome-stable

# macOS
brew install --cask google-chrome

2. playwright-core

# Check (auto-discovered from nvm paths)
node -e "require('playwright-core')"

# Install if missing
npm install -g playwright-core

If either dependency is missing, the scripts will exit with a clear error message and the install command above.

Standard Workflow (Always Follow This Order)

When a user shares a mp.weixin.qq.com link and asks to read/summarize/explain it, execute these steps every time — no skipping:

  1. Fetch text — run fetch_wechat.js --json to get title, author, date, content
  2. Take screenshot — run screenshot_wechat.js --out=/tmp/wechat_screenshot.png
  3. Send screenshot — use message(action=send, media=/tmp/wechat_screenshot.png) to push the image to the channel
  4. Send text summary — reply with the two-part format (📌 Overview + 🔎 Deep Dive)
  5. Delete temp file — rm /tmp/wechat_screenshot.png

Steps 1 and 2 can run in parallel. Step 3 must complete before step 4 (image first, text second).

Never skip the screenshot. Even if the user only asks to "explain" or "summarize" — always send the screenshot alongside the text. It gives visual context and confirms the article was actually read.


Fetching Article Text

# Basic text output
node scripts/fetch_wechat.js "https://mp.weixin.qq.com/s/XXXXX"

# JSON output (title + author + date + content)
node scripts/fetch_wechat.js "https://mp.weixin.qq.com/s/XXXXX" --json

# Limit output length
node scripts/fetch_wechat.js "https://mp.weixin.qq.com/s/XXXXX" --max-chars=5000

# Custom Chrome path
node scripts/fetch_wechat.js "https://mp.weixin.qq.com/s/XXXXX" --chrome-path=/usr/bin/chromium

Taking a Screenshot

Captures the full article area (title + author + body), with CSS injection to hide WeChat promotional footers, action bars, and contact sections. All fixed/sticky DOM elements are hidden before capture to prevent overlay artifacts.

Selector priority: #js_article → .rich_media_wrp → #js_content (fallback, no title).

The script auto-scrolls to bottom before capture to trigger lazy-loaded images.

# Default output: /tmp/wechat_screenshot.png
node scripts/screenshot_wechat.js "https://mp.weixin.qq.com/s/XXXXX"

# Custom path
node scripts/screenshot_wechat.js "https://mp.weixin.qq.com/s/XXXXX" --out=/tmp/article.png

Important: Uses waitUntil: 'load' (not networkidle) — WeChat pages have background requests that never settle, causing networkidle to time out.

After sending the screenshot, delete the temporary file.

Summarizing Articles — Output Format

Two-part structure. Match the user's language — respond in Chinese if the user writes in Chinese, English if English.

Both parts cover the same content at different depths. Same voice throughout. Keep it objective: report only what the article says — no personal session context, no action items, no subjective opinions.

Part 1 — Summary (📌 Overview)

  • Open with 1–2 sentences: what happened and why it matters
  • Follow with 3–5 bullet points (▸) — the most important points
  • Each bullet: one sentence, specific enough to be informative, short enough to scan

Part 2 — Details (🔎 Deep Dive)

  • Must cover every item from Part 1, in the same order — no cherry-picking, no reordering
  • Open with a transition sentence that connects back to Part 1
  • Each item: grouped under a ▸ topic header + 2–3 sentences covering mechanism, data/quotes, and the author's angle
  • Close with 1–2 sentences capturing the article's core thesis
  • Aim for 200–400 words depending on article length. Do NOT reproduce the full article.

Example Output (English article)

📌 Overview

OpenClaw 2026.3.7 upgrades memory management from a closed architecture to a
plugin-based system. With the lossless-claw plugin, long-context performance
now surpasses Claude Code for the first time on the OOLONG benchmark.

▸ New ContextEngine plugin slot lets third parties replace built-in lossy compression
▸ ACP channel bindings now persist across server restarts
▸ Toolchain improvements: search accuracy, local model inference, Docker deployment
▸ Security layer adds prompt-injection protection and credential safeguards
▸ Breaking change: gateway.auth.mode must be explicitly set when both auth methods are configured


🔎 Deep Dive

The following expands on each point from the overview above.

▸ Pluggable Memory
lossless-claw uses a DAG structure for lossless compression, scoring 74.8 on
OOLONG vs. Claude Code's 70.3 — a gap that widens with longer context. One
engineer who tested it for a week called the improvement "conservative to call
it 'working well'."

▸ Persistent ACP Bindings
Discord and Telegram topics can now bind to a dedicated agent, with the
binding surviving restarts and context carrying over. Each topic can route
to a different agent independently.

▸ Toolchain Upgrades
Perplexity replaced with Search API, adding language/region/time filters.
Ollama streaming no longer interleaves reasoning traces. Docker now ships
with pre-packaged extension dependencies.

▸ Security Hardening
New prependSystemContext / appendSystemContext hooks added alongside prompt
injection protection and credential-scraping prevention.

▸ Breaking Change
If both gateway.auth.token and gateway.auth.password are set, you must now
explicitly specify gateway.auth.mode — otherwise the gateway may fail to start.

Overall, this release marks a shift from a monolithic architecture toward a
plugin ecosystem where the community can replace and extend core components.

Limitations

Cannot read:

  • Deleted articles
  • Paid/subscriber-only content
  • Followers-only articles (require WeChat login)

Transient CAPTCHA may appear rarely — retrying usually works.

平台分布

OpenClaw

91.2%
按下载量换算3,878

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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