Python · MIT
akexin/mcd-points-actuary
麦麦积分精算师 — 基于麦当劳中国 MCP，把「渠道费 / 券叠加 / 积分机会成本」统一折算到一个目标函数「到手成本 = 现金 + 积分 × 影子价格」，回答同一份订单在到店自取、麦乐送、美团、饿了么哪边到手最便宜、该叠哪几张券、要不要动积分；并给出积分价值矩阵（同积分价值差 13 倍）、抽奖期望值边界与到期止损方案（麦当劳程序员创意开发大赛参赛作品）
★ 119
Stars
6 forks · 1 open issues
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Growth · stale
We stopped seeing this repository in its topic's top results, so its star count is frozen at the date it was last read. Subtracting from a frozen number would read as zero growth, which would be false, so no rate is shown.
18.8
Momentum / 100
see the breakdown below
30d ago
Created
last push 29d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | — — no measurable rate |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 12.8 | last push 29d ago; decays to zero at 180 days |
| Scale | 15 | 6.0 | 119 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 18.8 | capped at 35 because growth is unmeasured |
Detail
| Topics | actuarycoupon-optimizationloyalty-programmcdonaldsmcpmodel-context-protocolpointspython |
| Matched on | Agent Skills & MCP (model-context-protocol) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 4.37 stars/day over 27 days |
| First seen here | 2026-10-25 |
| Last read | 9d ago |