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在 OpenClaw 中安装
/install wechat-trending
功能描述
Extract and summarize publicly accessible WeChat shared pages including announcements, app info, and group invite details without login or private data access.
安全使用建议
This skill appears to do what it claims and doesn't ask for credentials, but note: (1) provenance is limited — there's no homepage or source code to review, so consider trust implications before enabling; (2) it assumes the agent can render JavaScript-driven pages (headless browser) — confirm your platform supports that or the skill won't work as intended; (3) ensure scraping follows site terms, robots.txt, and rate limits to avoid blocking; and (4) watch for any future changes that add network endpoints or credential requests.
功能分析
Type: OpenClaw Skill
Name: wechat-trending
Version: 0.1.0
The skill bundle (wechat-trending) consists of metadata and instructions for an AI agent to extract and summarize information from public WeChat pages, such as articles and announcements. The SKILL.md file explicitly limits the scope to publicly accessible content and disclaims any ability to perform account login, message transmission, or permission bypass, showing no signs of malicious intent or suspicious behavior.
能力评估
Purpose & Capability
The name/description align with the SKILL.md: all tasks refer to public WeChat share pages and summarization. However, the package has no homepage/source and limited provenance information (owner ID only), which reduces transparency though not necessarily functionality.
Instruction Scope
SKILL.md stays within scope (visit public share pages, extract title/author/time/body, summarize). It explicitly forbids login/privilege bypass. It does require waiting for dynamic content to render — but the skill declares no required binaries or helper tooling (e.g., headless browser), so it relies on the agent platform's browsing/rendering capability. There is no guidance on user-agent, rate limits, robots.txt, or anti-bot behavior.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested — proportional for a public-page scraping/summarization skill.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill does not request persistent or cross-skill privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install wechat-trending - 安装完成后，直接呼叫该 Skill 的名称或使用
/wechat-trending触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
wechat-hot-trend 0.1.0
- Initial release of the skill for extracting and summarizing public WeChat announcement, app, and group invitation pages.
- Supports gathering title, author, update time, summary, tags, and source link from public share links.
- Does not provide login, message sending, or restricted content access.
- Handles only publicly accessible content with dynamic loading support.
- Includes compliance notices for responsible use and information security.
元数据
常见问题
Wechat 是什么？
Extract and summarize publicly accessible WeChat shared pages including announcements, app info, and group invite details without login or private data access. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 216 次。
如何安装 Wechat？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-trending」即可一键安装，无需额外配置。
Wechat 是免费的吗？
是的，Wechat 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Wechat 支持哪些平台？
Wechat 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Wechat？
由 ClawKK（@codekungfu）开发并维护，当前版本 v0.1.0。
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