Home / sam6dvpte34 / social-media-skill · skills/wechat-article-comment-scraper/SKILL.md · GitHub

wechat-article-comment-scraper skillA

wechat-article-comment-scraper is agent-read markdown (skill) from sam6dvpte34/social-media-skill: Collect article comments from WeChat — text, author, timestamp, likes. Use when the user wants to mine reader feedback and discussion..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# WeChat Article Comment Scraper

Use this Skill for WeChat Public Web article comment collection, research, monitoring, analysis, and export.

This Skill uses the [BrowserAct](https://www.browseract.com/?co-from=social-media) CLI to access real browser pages and execute tasks.

## Common Use Cases

- Collect browser-visible article comments, replies, likes, and article context
- Research and compare article comment across selected WeChat Public Web targets
- Monitor visible activity, changes, and engagement signals over repeated collections
- Export structured, source-linked article comment records for analysis or operations

## Common Data

Depending on what is visible and authorized, relevant fields can include:

- Comment, reply, chat, danmaku, question, or feedback text visible on the page
- Author name, handle, profile reference, badge, and creator or host status when visible
- Timestamp, like or vote count, reply depth, thread context, and visible location
- Source content URL, parent reference, collection timestamp, and query context

## Instructions
…

Read the whole file at its exact version.

How to install

Latest version
mdr add sam6dvpte34/social-media-skill/wechat-article-comment-scraper@v0.1.0
Exact content
mdr add sam6dvpte34/social-media-skill/wechat-article-comment-scraper@sha256:9855a1c20b19c747

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nzy6rwbharjufdia.svg)](https://markdownregistry.com/a/art_nzy6rwbharjufdia)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-15 640bc1e 3,749 BA view · diff
v0.1.02026-07-15 22dbfcf 3,754 BA view · diff
v0.1.02026-07-15 63eb026 3,748 BA view · diff
v0.1.02026-07-15 061a653 3,859 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3749 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sam6dvpte34/social-media-skill · 5 stars · license none · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nzy6rwbharjufdia
GET https://markdownregistry.com/api/v1/resolve?ref=sam6dvpte34/social-media-skill/wechat-article-comment-scraper
GET https://markdownregistry.com/api/v1/blob/9855a1c20b19c747a51bdcceb9fee99b30a6c63b19a433915861f48b7f606827

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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