How do I install the Wechat Article Reader skill?

Run npx skillmds@latest add knownasnaffy/wechat-article-reader-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Wechat Article Reader safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Wechat Article Reader?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Wechat Article Reader free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Wechat Article Reader?

knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Wechat Article Reader by knownasnaffy

Name: Wechat Article Reader
Rating: 4.666666666666667 (3 reviews)
Author: knownasnaffy

Wechat Article Reader

Extract full text from WeChat Official Account (微信公众号) article URLs. Use when a user shares an mp.weixin.qq.com link and asks to read, summarize, analyze, or save the article. Handles WeChat's JS-rendered content and anti-bot detection via headless Chromium. Falls back to mirror-site search when headless browser is unavailable.

knownasnaffy Updated Sep 22, 2026 0 repo stars

File contents

WeChat Article Reader

Extract full article content from mp.weixin.qq.com URLs.

When to Use

User shares a WeChat article link (mp.weixin.qq.com/s/xxx)
Need to read/summarize/analyze/archive a WeChat article
ContentPipe Scout node receives a WeChat URL for reference

Quick Start

# First-time setup (installs headless Chromium ~200MB)
python3 SKILL_DIR/scripts/setup.py

# Extract article
python3 SKILL_DIR/scripts/fetch_article.py "https://mp.weixin.qq.com/s/xxx"

# Output: JSON with title, author, publish_time, content, word_count

How It Works

WeChat articles are JS-rendered — HTTP requests only get an empty shell. This skill uses Playwright headless Chromium to:

Launch headless browser with anti-detection flags
Navigate to the WeChat URL, wait for networkidle
Wait for #js_content (article body container)
Extract title (h1#activity-name), author, time, body text
Clean HTML → plain text (strip scripts/styles, compress whitespace)
Return structured JSON

Fallback: Mirror Search

If Playwright is unavailable, the skill searches Chinese content aggregators (53ai.com, 36kr.com, juejin.cn, woshipm.com) for mirror copies of the article.

Python API

from fetch_article import fetch_wechat_article

result = fetch_wechat_article("https://mp.weixin.qq.com/s/xxx")
# result = {
#   "success": True,
#   "title": "文章标题",
#   "author": "作者名",
#   "publish_time": "2026-03-10",
#   "content": "正文全文...",
#   "word_count": 2500,
#   "source": "playwright",  # or "mirror"
#   "url": "https://mp.weixin.qq.com/s/xxx"
# }

Limitations

Requires one-time Chromium install (python3 scripts/setup.py)
First fetch takes ~5-10s (browser startup); subsequent fetches ~3-5s (browser reuse)
Cannot bypass WeChat login walls (paid content, follower-only articles)
Mirror fallback only works for popular/widely-shared articles

---name: wechat-article-reader-3description: Extract full text from WeChat Official Account (微信公众号) article URLs. Use when a user shares an mp.weixin.qq.com link and asks to read, summarize, analyze, or save the article. Handles WeChat's JS-rendered content and anti-bot detection via headless Chromium. Falls back to mirror-site search when headless browser is unavailable.---# WeChat Article ReaderExtract full article content from `mp.weixin.qq.com` URLs.## When to Use- User shares a WeChat article link (`mp.weixin.qq.com/s/xxx`)- Need to read/summarize/analyze/archive a WeChat article- ContentPipe Scout node receives a WeChat URL for reference## Quick Start```bash# First-time setup (installs headless Chromium ~200MB)python3 SKILL_DIR/scripts/setup.py# Extract articlepython3 SKILL_DIR/scripts/fetch_article.py "https://mp.weixin.qq.com/s/xxx"# Output: JSON with title, author, publish_time, content, word_count```## How It WorksWeChat articles are JS-rendered — HTTP requests only get an empty shell. This skill uses Playwright headless Chromium to:1. Launch headless browser with anti-detection flags2. Navigate to the WeChat URL, wait for `networkidle`3. Wait for `#js_content` (article body container)4. Extract title (`h1#activity-name`), author, time, body text5. Clean HTML → plain text (strip scripts/styles, compress whitespace)6. Return structured JSON### Fallback: Mirror SearchIf Playwright is unavailable, the skill searches Chinese content aggregators (53ai.com, 36kr.com, juejin.cn, woshipm.com) for mirror copies of the article.## Python API```pythonfrom fetch_article import fetch_wechat_articleresult = fetch_wechat_article("https://mp.weixin.qq.com/s/xxx")# result = {# "success": True,# "title": "文章标题",# "author": "作者名",# "publish_time": "2026-03-10",# "content": "正文全文...",# "word_count": 2500,# "source": "playwright", # or "mirror"# "url": "https://mp.weixin.qq.com/s/xxx"# }```## Limitations- Requires one-time Chromium install (`python3 scripts/setup.py`)- First fetch takes ~5-10s (browser startup); subsequent fetches ~3-5s (browser reuse)- Cannot bypass WeChat login walls (paid content, follower-only articles)- Mirror fallback only works for popular/widely-shared articles

Frequently asked questions