mcd-agent-gourmet: 麦当劳点餐 Skill:说一句「35 元、不辣、去冰」→ 一个答案 + 一张可复制的点单卡

by polaris-smart · MCP Server · ★ 150

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

How to install mcd-agent-gourmet

git clone https://github.com/polaris-smart/mcd-agent-gourmet.git

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

Security audit verdict: SAFE · quality 64/100

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.

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Quick Facts

Stars150
Forks1
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score64/100
Last Updated2026-10-25
Created2026-10-12
Platformscli, mcp, python
Est. Tokens~14k

About mcd-agent-gourmet

麦门省钱王 · mcd-agent-gourmet 多 agent 协作帮你点最省的麦当劳 营养师+预算师+口味师分工,owner 审批后安全下单 用户收益 定位 市面上的麦当劳 Skill 都在回答"怎么点最省/怎么点最健康"。 我们回答一个更完整的问题:"一群 agent 怎么协作帮你点餐"。 正如麦当劳官方所说:"帮助 AI Agent 连接麦当劳服务"、 "集成点餐、领券等核心能力,快速构建拥有麦当劳能力的专属 AI Agent"—— 我们在此基础上,加入多 agent 协作与治理层: 不是"一个 agent 帮你点餐",而是"一群 agent 协作,owner 审批后安全下单"。 官方三大核心能力覆盖 核心设计 角色分工(多 agent 协作) 治理层(两本账) 需求账:你想吃什么(口味/营养/份量) 预算账:你愿意花多少钱(预算/券/积分) 审批链:三 agent 出方案 →...

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  • mcd-coupon-strategist by Ayzzz123 · ⭐ 737

    麦麦省钱助手 —— 基于麦当劳 MCP 的点餐成本优化 Skill。算出当前门店最省钱的点餐方案,并主动提示凑单陷阱。

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  • McD-saver by yuxinlaile · ⭐ 115

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  • walk-kcal by adexbn · ⭐ 185

    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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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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