Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by laolin5564 · Codex Skill · ★ 144
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-wx-echo safe to install? View the security audit →
OpenClaw Skill — 微信 AI 个人助手 自动从微信聊天中提取待办、日程、干货，推送到 Discord，闭环追踪任务状态。 念念不忘，必有回响 — Important messages always echo back. 安装 · 功能 · 原理 · 增量解密 · 共建 🦞 快速开始 把这段话发给你的 Agent（大黄 / Claude / 任何 OpenClaw Agent）： 帮我安装 wx-echo skill：先 到 ，然后按 SKILL.md 引导我设置 Agent 会自动：克隆代码 → 编译密钥提取工具 → 提取密钥 → 解密数据库 → 同步消息 → 注册定时任务。 ⚠️ 需要 macOS + 微信桌面版 4.0+ 正在运行 + ✨ 功能 Discord Forum 闭环追踪 所有输出统一推送到一个 Discord Forum 频道，通过 tag 分类（📋待办 / 📅日程 / 📰干货）： 待办 — 每个新待办创建一个帖子，后续回扫微信对话检测完成信号（"搞定了"、"已处理"），超过 7 天未完成自动催促，完成后关帖 日程 — 创建帖子 + Apple Calendar 事件，日程到期自动关帖 干货 — 每日一帖，按群分组，精选 Top 3 置顶 不再是消息流一滚就找不到了——每条待办都有独立帖子，状态可追踪。 隐私 数据提取（解密、同步、JSON 输出）全程本地运行。AI 分析阶段，提取后的聊天摘要会发送到你配置的大模型 API。原始
| Stars | 144 |
| Forks | 30 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 56.1257267828055/100 |
| Last Updated | 2026-03-16 |
| Created | 2026-03-13 |
| Platforms | python |
| Est. Tokens | ~14k |
These tools work well together with openclaw-wx-echo for enhanced workflows:
Looking for a openclaw-wx-echo alternative? If you're comparing openclaw-wx-echo with other codex skill tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
开源了Codex Skills等集合，大部分是自己实际需要搞得，需要的自取。欢迎star
Skills for agentic development on Solana
Explore other popular codex skill tools:
openclaw-wx-echo is 🦞 微信 AI 个人助手 — 自动提取待办、日程、干货（Alpha，欢迎共建）. It is categorized as a Codex Skill with 144 GitHub stars.
openclaw-wx-echo is primarily written in Python.
You can find installation instructions and usage details in the openclaw-wx-echo GitHub repository at github.com/laolin5564/openclaw-wx-echo. The project has 144 stars and 30 forks, indicating an active community.
The top alternatives to openclaw-wx-echo on Agent Skills Hub include skills, solana-dev-skill. 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: