# wahaha-potato/mcd-coupon-xray

> A Skill for the McDonald's MCP that checks which coupons in your wallet a specific store actually accepts and computes the discounted price. It answers which store to visit, which coupon to use, and how much you save.

- Magnitude: 3.6 out of 10 — Early signal
- Stars: 124 total · +3 stars measured 2026-10-26, 00:12–02:17 UTC, ≈ 26 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-23 · Last push: 2026-10-23
- GitHub: https://github.com/wahaha-potato/mcd-coupon-xray · Page: https://gitnova.dev/en/r/wahaha-potato/mcd-coupon-xray

## Useful for

- Check which wallet coupons a nearby store actually accepts
- Compare several stores and pick the cheapest coupon option
- Compute pre- and post-coupon price for a specific order

## Why it’s here

- Star-counter measurements on 2026-10-26 (UTC), 00:12–02:17: 121 → 124 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +26 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 124 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #169.
- About 7 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: 0
- Average over the last week: 38 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 2

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

2026-10-23 … 2026-10-26: 8, 91, 25, 3

## Spotted in now

- Top new repositories this week: #169

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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 2026-10-26 02:26 UTC, updated every 30 minutes.