by erikzeng2008-del · MCP Server · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 111 |
| Forks | 8 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2026-10-09 |
| Platforms | mcp |
| Est. Tokens | ~17k |
🍔 麦门双预算军师 (McDualBudget Coach) ▶ 在线试玩（点这里就能用，不用下载、不用装） 👉 点我进在线版 → 手机浏览器直接打开也行。不想用 Demo？先看落地页。 🃏 核心玩法：麦门全息人设卡（会闪、能存、能晒） 配完一顿，它不只告诉你「买什么」——还按这一顿的真实数据给你发一张会随视角流光溢彩的 3D 全息卡，鉴定你是哪种麦门人格、什么稀有度。 ### 👉 点开直接看一张卡（317 KB，秒开，不用装不用配） 打开就是一张会闪的「传说 · 热量刺客」——而且它是真的在动：不碰也会自己轻转、镭射自己扫，鼠标划过或手指拖动时切成跟手模式，四层视差跟着走。 在完整 Demo 里配完餐，还能生成你这张卡的专属链接——发给谁，谁点开看到的就是你的结果。 四层视差：背景 / AI 抠图商品主体 / 金色线稿 / 文字，鼠标或手指拖动时分层错动...
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你今天还能吃多少卡，取决于你愿意走多远 —— 用步行距离换卡路里额度的吃饭决策。麦当劳官方营养值 × 周边餐厅，算你这顿还吃得下什么。
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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: