by xiaozhangup · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/xiaozhangup/Oh-My-McDonald.gitTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 60 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59/100 |
| Last Updated | 2026-10-24 |
| Created | 2026-10-24 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
Oh-My-McDonald https://github.com/user-attachments/assets/e0bc2d36-26e1-42b6-9329-985fb6f0117f 下载介绍视频 Oh-My-McDonald 是一个基于麦当劳官方 MCP 的对话驱动 AI Skill。 你可以直接告诉 AI 今天想吃什么、预算多少、有什么不想吃的，也可以查询门店价格、优惠券、活动和餐品营养。吃过的餐品和去过的门店经过确认后，还能保存成自己的探索记录。 项目使用 Python 本地脚本处理数据和生成图片，将查询结果整理成四种体素风格的 PNG 场景。不需要网页界面，也不依赖图片生成 API。 场景预览 餐品图鉴 吃过并确认记录的餐品会点亮展台，尚未记录的餐品保持灰色。 优惠日历 查看今天能用的券、近期活动，以及快到期的优惠。 门店比价...
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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: