爽了，现在可以直接用Codex自动批量抓取公众号文章。

原创、一次性多篇都可以精确抓取； 正文、点赞、分享、评论、阅读量也都可以抓取。

之前还要手动去网站操作，现在直接让Codex操作，舒服了～

正文，只需要扫个码，登录状态保持4天。 其他数据，需要切换代理，Codex可以自己操作。

Skill GitHub地址：https://github.com/mcncarl/yichen-skills/tree/main/wechat-mp-batch-exporter…

mcncarl/yichen-skills

Source: https://github.com/mcncarl/yichen-skills

yichen-skills

English | 中文

A skill collection for creators who want to streamline writing, X Articles draft publishing, WeChat digital-asset capture, and local workflows with Claude Code and Codex.

What This Repo Does

1. Turn Claude Code conversations into structured Obsidian notes (summary)
2. Upload Obsidian/Markdown articles to X Articles drafts (x-article-draft-uploader)
3. Turn WeChat chats, Moments, and Favorites into AI-powered digital assets (wechat-local-vault)
4. Run two WeChat accounts on one Mac with a distinct blue icon (mac-wechat-dual-open)
5. Fetch benchmark videos/posts from Douyin and Xiaohongshu (douyin-fetcher, xiaohongshu-fetch)
6. Transcribe, caption, and rough-cut talking-head videos with Volcengine ASR (volc-asr)
7. Diagnose benchmark video transcripts (yichen-video-content)
8. Run verified research through the official ChatGPT web page (chatgpt-web-research)
9. Hand off rough cuts to Jianying/CapCut for final editing (jianying-editor)
10. Install and maintain a Markdown/Obsidian-first Codex memory system (codex-memory)
11. Batch-export WeChat Official Account article history, original-article lists, bodies, and optional read/comment metrics (wechat-mp-batch-exporter)

Included Skills

1) summary

• Purpose: extract key insights from the current conversation and save to Obsidian
• Typical triggers: /summary, “save conversation”, “export highlights”
• Capabilities:
  • Filters out low-value chat transitions
  • Produces structured notes (Background, Core Content, Solution, Key Points, Related)
  • Useful for long-term knowledge accumulation

2) x-article-draft-uploader

Upload Obsidian/Markdown long-form articles to X Articles drafts:

• Uses the first image as the X Article cover
• Converts Markdown into rich text for the X editor
• Inserts body images at their original Markdown positions
• Runs in an independent Playwright browser so it does not take over the user’s current Chrome window
• Reuses Chrome login state through temporary exported cookies
• Saves drafts only and does not click the final 发布 button

See x-article-draft-uploader/README.md for installation, privacy notes, and troubleshooting.

3) mac-wechat-dual-open

Run two WeChat accounts simultaneously on macOS — no third-party tools:

• Copies WeChat, changes the bundle identifier, and re-signs locally
• Recolors the second app’s icon from green to blue for visual distinction
• Handles both outer and embedded icon files, Finder custom icon, and cache refresh
• One-command workflow: create → recolor-icon → launch
• Typical triggers: “微信双开”, “WeChat dual open”, “double WeChat”
• Requirements: macOS 12+, WeChat at /Applications/WeChat.app, Python 3.10+, Pillow
• Limitations: breaks after WeChat updates (re-run repair), push notifications may be unreliable
• Based on the well-known copy + bundle-id + ad-hoc signing method documented by @koffuxu

4) wechat-local-vault

WeChat digital-asset assistant for macOS:

• Decrypts WeChat Mac 4.x local SQLCipher databases (AES-256-CBC)
• Extracts chats, Moments (sns.db), and Favorites (favorite.db)
• Generates AI-powered chat digests, Moments reports, Favorites cleanup notes, customer follow-up drafts, and relationship review prompts
• First-time onboarding introduces 3 categories and 9 playbooks: chat records, Moments, and Favorites
• Configurable monitoring for groups, contacts, Moments targets, and Favorites cleanup preferences
• First-time setup guided via frida key extraction
• Typical triggers: “微信解析”, “微信全量”, “微信增量”, “导出聊天”, “朋友圈解析”, “收藏夹整理”, “客户跟进”, “wechat-local-vault”
• Requirements: macOS, WeChat Mac 4.x, Python 3.9+, pycryptodome, zstandard
• See wechat-local-vault/README.md for full documentation

5) douyin-fetcher

Fetch Douyin video metadata and download an MP4 through Playwright network interception:

• Supports /video/<id> links and selected modal-style URLs
• Writes a compact .metadata.json next to the downloaded video
• Use --metadata-only to validate a link without downloading media

6) xiaohongshu-fetch

Fetch Xiaohongshu video/image posts into local files:

• Parses window.__INITIAL_STATE__
• Downloads video, subtitles, images, and metadata when available
• Keeps cookies, Feishu AppToken/TableID, and target table IDs out of the repo

7) volc-asr

Transcribe local audio/video files and generate rough cuts:

• Uses environment variables for Volcengine ASR and TOS configuration
• Produces transcript text, SRT subtitles, ASR cache, and optional rough-cut MP4
• Requires explicit user approval before cleaning temporary files

8) yichen-video-content

Analyze benchmark video transcripts:

• Breaks a transcript down sentence by sentence
• Labels each sentence’s role
• Produces a structured imitation and improvement report

9) chatgpt-web-research

Run research through the user’s already signed-in official ChatGPT website account:

• Uses the real ChatGPT web page, not the OpenAI API or a separate account
• Prefers Chrome extension control and falls back to visible Computer Use only when necessary
• Waits for a full answer with a unique marker before extracting
• Saves raw and readable Markdown reports under the current workspace’s reports/ directory
• Keeps profile names, local paths, cookies, tokens, and browser storage out of the public skill

See chatgpt-web-research/README.md for privacy notes and workflow details.

10) jianying-editor

Guide Jianying/CapCut desktop finishing:

• Confirms media files and imports rough cuts
• Handles timeline placement, subtitles, visual polishing, and export notes
• Leaves automatic rough-cut logic to volc-asr

11) codex-memory

Install and maintain the public Codex Memory system:

• Creates a local Markdown/Obsidian-first memory vault from the public template
• Uses Markdown as the source of truth and SQLite/FTS as the fast index
• Supports optional Zvec semantic retrieval for fuzzy “meaning-based” recall
• Guides prewrite reconcile, closeout, audit, and privacy-safe template updates
• Typical triggers: “install Codex memory”, “set up memory vault”, “run memory closeout”, “audit my Codex memory”
• Template repo: mcncarl/codex-memory

12) wechat-mp-batch-exporter

Batch-export WeChat Official Account articles:

• Downloads known mp.weixin.qq.com article URLs as Markdown/JSON/text/HTML
• Uses wechat-article-exporter for account search and history list sync
• Separates publish_groups, expanded_url_items, and original_articles
• Supports enhanced archive planning for read counts, likes, shares, comments, and replies through wxdown-service when fresh user-owned credentials are available
• Requires user confirmation for QR login, credential capture, certificate trust, proxy changes, and any WeChat desktop steps
• Never operates WeChat UI or stores real credentials in the repo

See wechat-mp-batch-exporter/README.md for setup and privacy notes.

Project Structure

yichen-skills/
├─ summary/
│  └─ SKILL.md
├─ x-article-draft-uploader/
│  ├─ SKILL.md
│  ├─ README.md
│  ├─ agents/
│  └─ scripts/
│     ├─ export_x_cookies_from_chrome.py
│     ├─ parse_markdown.py
│     └─ upload_markdown_to_x_article.py
├─ wechat-local-vault/
│  ├─ SKILL.md
│  ├─ README.md
│  └─ scripts/
│     ├─ decrypt_all_dbs.py
│     ├─ export_chat.py
│     ├─ extract_keys.py
│     ├─ list_contacts.py
│     ├─ search_sns.py
│     └─ wechat_digest.py
├─ mac-wechat-dual-open/
│  ├─ SKILL.md
│  ├─ scripts/
│  │  └─ wechat_dual_open.py
│  └─ references/
│     └─ reliability-and-risks.md
├─ douyin-fetcher/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ download.py
├─ xiaohongshu-fetch/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ fetch.py
├─ volc-asr/
│  ├─ SKILL.md
│  └─ scripts/
│     └─ transcribe.py
├─ yichen-video-content/
│  ├─ SKILL.md
│  └─ references/
│     └─ title-formulas.md
├─ chatgpt-web-research/
│  ├─ SKILL.md
│  ├─ README.md
│  └─ agents/
├─ jianying-editor/
│  └─ SKILL.md
├─ codex-memory/
│  ├─ SKILL.md
│  └─ agents/
├─ wechat-mp-batch-exporter/
│  ├─ SKILL.md
│  ├─ README.md
│  ├─ agents/
│  ├─ references/
│  └─ scripts/
├─ README.md
├─ README.zh.md
├─ THIRD_PARTY_NOTICES.md
├─ LICENSE
└─ .gitignore

Requirements

• Claude Code / Codex CLI (with local skill loading)
• Python Playwright (required by x-article-draft-uploader)
• Python 3.9+
• Dependencies:
  • X article drafts: pip install playwright pycryptodome && python3 -m playwright install chromium
  • WeChat local vault: pip install pycryptodome zstandard
  • WeChat dual open: pip install Pillow
  • Douyin fetcher: pip install playwright requests && python3 -m playwright install chromium
  • Xiaohongshu fetcher: pip install requests
  • Volc ASR rough cut: pip install requests plus local ffmpeg / ffprobe
  • ChatGPT Web research: Chrome signed in to ChatGPT, plus Chrome/Computer Use capability in your agent environment
  • WeChat MP batch export: Python 3 standard library for known URL downloads; wechat-article-exporter / wxdown-service only for account history, metrics, and comments

Installation

Copy this repository into your local skills directory:

• Common Claude path: ~/.claude/skills/
• Common Agents path: ~/.agents/skills/
• Custom skill path also works if your setup supports it

Keep directory names unchanged:

• summary
• x-article-draft-uploader
• wechat-local-vault
• mac-wechat-dual-open
• douyin-fetcher
• xiaohongshu-fetch
• volc-asr
• yichen-video-content
• chatgpt-web-research
• jianying-editor
• codex-memory
• wechat-mp-batch-exporter

Quick Start (3 Minutes)

A) Enable summary

1. Ensure summary/SKILL.md is available in your loaded skills path
2. Start a new session and run /summary
3. Confirm output is written to your Obsidian folder (example paths may use <OBSIDIAN_VAULT>/...)

B) Enable x-article-draft-uploader

1. Install Python Playwright: pip3 install playwright pycryptodome && python3 -m playwright install chromium
2. Make sure Chrome is already logged in to X
3. Say “upload this Markdown article to X Articles draft” or run the script directly
4. The skill creates a fresh draft, preserves the first image as the cover, and inserts body images in place
5. See x-article-draft-uploader/README.md for commands

C) Enable mac-wechat-dual-open

1. Install Python dependency: pip3 install Pillow
2. In Claude Code, say “帮我微信双开” or “WeChat dual open”
3. The skill will create a second WeChat at ~/Applications/WeChat-2.app with a blue icon
4. See mac-wechat-dual-open/SKILL.md for all commands

D) Enable wechat-local-vault

1. Install Python dependencies: pip3 install pycryptodome zstandard
2. In Claude Code or Codex, say “微信解析”, “导出聊天”, or “收藏夹整理”
3. First run will guide you through key extraction and choosing among the 9 playbooks
4. If unsure, start with the recommended trio: group chat digest + Moments report + Favorites cleanup
5. Subsequent runs generate the selected digest, report, or draft workflow
6. See wechat-local-vault/README.md for details

E) Enable the creator video workflow

1. Install Playwright, requests, and ffmpeg
2. Use douyin-fetcher or xiaohongshu-fetch to save benchmark media locally
3. Use volc-asr to transcribe or rough-cut recorded talking-head videos
4. Use yichen-video-content to diagnose benchmark transcripts
5. Use jianying-editor for final Jianying/CapCut import, subtitle, polish, and export steps

F) Enable chatgpt-web-research

1. Make sure Chrome is already signed in to the intended ChatGPT account
2. Keep the ChatGPT tab or profile visible when a Pro route must be confirmed
3. Ask for official-site research, for example: “Use ChatGPT Web to research Anthropic and save a Markdown report”
4. The skill waits for a complete answer, verifies the marker, and saves raw/readable Markdown reports

G) Enable codex-memory

1. Make sure codex-memory/SKILL.md is available in your loaded skills path
2. Ask Codex to “install Codex Memory” or “set up a local Codex memory vault”
3. The skill will use mcncarl/codex-memory to create a private local vault
4. After setup, use codex_memory_search.py, codex_memory_closeout.py, and codex_memory_audit.py for search, task-end cleanup, and periodic review

H) Enable wechat-mp-batch-exporter

1. Make sure wechat-mp-batch-exporter/SKILL.md is available in your loaded skills path
2. For known article URLs, ask for a Markdown download directly
3. For account history, configure WECHAT_ARTICLE_EXPORTER_DIR or use the public exporter route supported by wechat-article-exporter
4. For read counts and comments, configure WXDOWN_SERVICE_DIR and confirm the credential-capture workflow before starting any local helper
5. See wechat-mp-batch-exporter/README.md before using metrics, comments, proxy, certificate, or WeChat desktop workflows

X Cookie Handling

This repo does not include real credentials or cookie templates.

x-article-draft-uploader exports current X cookies from the user’s local Chrome profile into a temporary Playwright cookie file:

python3 ~/.codex/skills/x-article-draft-uploader/scripts/export_x_cookies_from_chrome.py --output /tmp/x_current_cookies.json

The temporary file is sensitive and should be deleted after use:

rm -f /tmp/x_current_cookies.json

.gitignore already ignores **/cookies.json.

Security Notes

• Real token/cookie values are not included
• History/cache artifacts are excluded from tracking
• Personal absolute paths are replaced with generic forms
• Third-party AppID, AppToken, TableID, bucket names, and ASR tokens must be supplied through environment variables or private config
• WeChat exporter auth-keys, credential files, QR secrets, captured cookies, and downloaded article archives must stay local and private

If you ever exposed real cookies in a public repo, rotate them immediately.

FAQ

Why doesn’t a skill trigger?

• Verify the skill folder is in your actually loaded skill path
• Restart the session and retry
• Check name and description in SKILL.md frontmatter

Why did X Articles draft upload fail?

• Check whether Chrome is still logged in to X
• Re-export temporary cookies
• Verify Python Playwright is installed
• Verify local Markdown/image paths exist

Can I use my own Obsidian path?

• Yes. Replace example paths in skill files
• <OBSIDIAN_VAULT>/... is only an example

For Redistributors

This repository is published for personal learning and non-commercial personal use only. Do not use it for commercial services, client delivery, paid products, internal company toolkits, marketplace packages, courses, or any other revenue-generating purpose without explicit written permission.

If you fork for personal study, keep at least:

• README.md
• README.zh.md
• LICENSE
• .gitignore
• THIRD_PARTY_NOTICES.md
• x-article-draft-uploader/README.md

Do not republish or repackage this repository as a public skill bundle. Always remind users not to publish real credentials or private data.

Acknowledgments

Parts of the X Articles draft workflow and Markdown parsing approach are adapted with references to:

• wshuyi/x-article-publisher-skill
  • Repo: https://github.com/wshuyi/x-article-publisher-skill
  • Docs: https://github.com/wshuyi/x-article-publisher-skill/blob/main/README_CN.md
  • License: MIT

The WeChat database decryption approach in wechat-local-vault is adapted from:

• zhuyansen/wx-favorites-report
  • Repo: https://github.com/zhuyansen/wx-favorites-report
  • Author: zhuyansen
  • License: MIT
  • Specifically: the frida hook method for CCKeyDerivationPBKDF key extraction and SQLCipher 4 page-level decryption logic

The WeChat dual-open method in mac-wechat-dual-open is based on:

• @koffuxu — original tutorial (2026-04): Mac 微信双开最完美方案
• @MinLiBuilds — independent confirmation (2026-04)

See THIRD_PARTY_NOTICES.md for details.

Compliance Boundary

• This project is not affiliated with, endorsed by, or sponsored by X (Twitter) or WeChat (Tencent).
• This repository is for personal learning and non-commercial personal workflow use only.
• Commercial use, client delivery, resale, paid redistribution, marketplace packaging, course bundling, and internal company deployment are prohibited without prior written permission.
• Users are responsible for complying with X platform terms/policies and local laws.
• wechat-local-vault is for personal use only — only decrypt and read your own chat data.
• Never upload real account credentials (for example, cookies.json, wechat-keys.json) to public repositories.
• Never upload real chat records, WeChat databases, customer data, private notes, API keys, local paths, or other personal data.

License

Personal Learning and Non-Commercial Use License. See LICENSE.

逸尘 (@gengdaJ): 很多朋友好奇我怎么一次性把卡兹克老师的所有公众号文章批量抓取下来的，今天来分享一个宝藏的免费工具，批量抓取公众号博主的正文、互动量、评论区。

GitHub：https://t.co/b20Z6stZf6 在线网站：https://t.co/cXdDhjBHpv

自用就行，别拿来干坏事🫡