oh-my-sage: 米家自动化极客版 AI Agent (SKILL & MCP)- 用自然语言创建复杂自动化规则

by allocnode · MCP Server · ★ 105

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install oh-my-sage

git clone https://github.com/allocnode/oh-my-sage.git && cd oh-my-sage && npm install && npm run build:mcp && npm link
git clone https://github.com/allocnode/oh-my-sage.git && cd oh-my-sage && npm install

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars105
Forks22
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score62/100
Last Updated2026-10-22
Created2026-03-21
Platformsmcp, node
Est. Tokens~14k

About oh-my-sage

Oh My Sage 米家自动化极客版 AI Agent - 用自然语言创建复杂的米家极客版自动化规则 Oh My Sage 是一个工具驱动的 AI Agent,通过自然语言对话帮助你创建和管理小米米家自动化极客版规则。 ✨ 核心特性 🤖 Agent 循环 - 持续运行的思考-行动循环,非一次性响应 🛠️ 工具驱动 - 所有能力通过工具实现,灵活可扩展 💭 思考可见 - 输出思考过程,让你了解 Agent 在做什么 💡 多方案建议 - 为你提供多种实现方案供选择 ✅ 确认后执行 - 重要操作前获取你的确认 🔄 流式输出 - 实时显示处理过程 📐 自动布局 - 规则节点自动排版,清晰展示流程 🔌 MCP 支持 - 通过 Model Context Protocol 集成到 AI 编程助手 🚀 快速开始 两种使用方式,任选其一: MCP 方式(一行命令安装) 配置 MCP...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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