# calmsprite2001/mcd-mailu

> A Skill built on McDonald's official MCP that reads your order history and turns it into a narrative footprint card, with every sentence traceable to real orders. It doesn't help you order — it makes sense of purchases already made.

- Magnitude: 5.5 out of 10 — Early signal
- Stars: 117 total · +0 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 67 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-10-19 · Last push: 2026-10-19
- GitHub: https://github.com/calmsprite2001/mcd-mailu · Page: https://gitnova.dev/en/r/calmsprite2001/mcd-mailu

## Useful for

- Generate a footprint card of your McDonald's orders for the year with spend and frequency breakdown
- Identify how many orders were placed at airports or train stations based on store names
- View the offline demo with 88 samples without a token or network connection

## Why it’s here

- Star-counter measurements on 2026-10-22 (UTC), 00:37–04:07: 117 → 117 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +67 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 117 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #187.
- About 71 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 0
- Watchers: 6
- Average over the last week: 46 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-10-19 … 2026-10-22: 0, 17, 100, 0

## Spotted in now

- Top new repositories this week: #187

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-22 04:18 UTC, updated every 30 minutes.