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codekungfu

Wechat

by ClawKK · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
703
Downloads
0
Stars
4
Active Installs
1
Versions
Install in OpenClaw
/install wechat-hot-trend
Description
Extract and summarize publicly shared WeChat pages including announcements, app details, and group invitations without requiring login or account access.
Usage Guidance
This skill appears coherent and low-risk, but before installing: (1) confirm you are comfortable allowing the agent to fetch public WeChat pages (network egress); (2) respect weixin.qq.com terms of service and robots/rate limits to avoid abusive scraping; (3) monitor outputs for accidental PII extraction and avoid sending sensitive data elsewhere; (4) test in a sandbox or with a low request rate first; and (5) note the skill source is unknown — if provenance matters, prefer skills from known authors or review the SKILL.md carefully.
Capability Analysis
Type: OpenClaw Skill Name: wechat-hot-trend Version: 0.1.0 The skill bundle 'wechat-hot-trend' consists of metadata and instructions (SKILL.md) for an AI agent to extract and summarize information from public WeChat pages. It explicitly defines boundaries such as no account login, no messaging capabilities, and no permission bypass, focusing only on publicly accessible content like announcements and app descriptions. No executable code or malicious patterns were identified.
Capability Assessment
Purpose & Capability
Name/description align with SKILL.md: it focuses on publicly shared WeChat pages (announcements, app pages, group invites). The skill does not request unrelated credentials or binaries.
Instruction Scope
SKILL.md only instructs visiting public share pages, waiting for dynamic rendering, extracting titles/authors/timestamps/content and summarizing. It does not tell the agent to read local files, access unrelated env vars, or transmit data to third-party endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes disk-write and supply-chain risk.
Credentials
No required environment variables, credentials, or config paths are declared; this is proportionate for a public-page scraping/summarization skill.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated or persistent system privileges beyond normal agent invocation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wechat-hot-trend
  3. After installation, invoke the skill by name or use /wechat-hot-trend
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
wechat-hot-trend 0.1.0 — Initial Release - Provides extraction and summarization of public WeChat pages (announcements, app info, group invites). - Does not support login, messaging, or accessing private content. - Handles only publicly accessible share links. - Outputs key details such as title, author, update time, summary, tags, and links. - Includes compliance notes on scope and usage restrictions.
Metadata
Slug wechat-hot-trend
Version 0.1.0
License MIT-0
All-time Installs 4
Active Installs 4
Total Versions 1
Frequently Asked Questions

What is Wechat?

Extract and summarize publicly shared WeChat pages including announcements, app details, and group invitations without requiring login or account access. It is an AI Agent Skill for Claude Code / OpenClaw, with 703 downloads so far.

How do I install Wechat?

Run "/install wechat-hot-trend" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Wechat free?

Yes, Wechat is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Wechat support?

Wechat is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Wechat?

It is built and maintained by ClawKK (@codekungfu); the current version is v0.1.0.

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