No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by claw-codes · Codex Skill · ★ 710
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wx4py safe to install? View the security audit →
访问官网查看演示视频：wx4py.biglongxia.com 让微信4.x自动化变得简单 你是否遇到过这些场景？ 🔁 每天给多个群发相同通知 —— 手动一个个发送，浪费时间又容易漏掉 📁 同一个文件要分发到多个群 —— 反复拖拽上传，操作繁琐 ⏰ 想定时发送消息 —— 比如每天下午5点提醒提交日报，但微信没有定时发送功能 📊 需要分析群聊记录 —— 想统计活跃度、提取关键讨论，却没法导出数据 🛠️ 批量管理多个群 —— 设置公告、免打扰、置顶，一个个点太麻烦 🤖 想让 AI 帮我操作微信 —— 不想写代码，只想说一句话就完成操作 💬 想做群聊机器人 —— 多个群同时监听，只在被 @ 时调用 AI 自动回复 如果你有以上任何困扰，wx4py 可以帮你解决。 wx4py 能做什么？ 一句话群发通知 效果：3个群同时收到通知，告别手动逐个发送。 定时自动提醒 python import
| Stars | 710 |
| Forks | 197 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 62.1516956834274/100 |
| Open Issues | 15 |
| Last Updated | 2026-04-11 |
| Created | 2026-03-28 |
| Platforms | python |
| Est. Tokens | ~653k |
Looking for a wx4py alternative? If you're comparing wx4py with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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wx4py is 微信4.x自动化机器人：群聊机器人、批量群发（支持文件）、批量设置群公告、聊天记录导出、群管理 | 5分钟上手. It is categorized as a Codex Skill with 710 GitHub stars.
wx4py is primarily written in Python. It covers topics such as automation, openclaw-skills, python.
You can find installation instructions and usage details in the wx4py GitHub repository at github.com/claw-codes/wx4py. The project has 710 stars and 197 forks, indicating an active community.
wx4py is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to wx4py on Agent Skills Hub include welink, OpenClaw-Medical-Skills, claude-code-plugins-plus-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: