by tomsbin · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/tomsbin/mcd-fit-planner.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 | 101 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64/100 |
| Last Updated | 2026-10-25 |
| Created | 2026-10-15 |
| Platforms | codex, mcp, python |
| Est. Tokens | ~15k |
MCD FIT PLANNER · 吃麦，也有自己的节奏 今天吃麦，刚好合拍。 提前记住你的训练计划，点餐时比较套餐，月末把吃过的日子整理成手账。 免安装在线体验 ↗ · 下载技能 · 开始使用 · 接入其他-agent WorkBuddy / Codex / 支持 MCP 与本地 Python 的 DeepSeek Agent 麦当劳饮食计划助手 · 基于麦当劳中国官方 MCP 的非官方 Agent Skill · 预览均为合成数据 从今天吃什么，到这一年吃得怎么样 “今天训练日，保留我想吃的汉堡，看看套餐怎么搭更划算，也更接近我的目标。” 当前版本 0.10.1。提前录入已有饮食目标后，日常点餐即可沿用计划；每次下单前展示价格、组成和营养差异，由你确认。 先花一分钟，试试自己的节奏 打开在线体验，不需要 Token 或安装...
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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: