# TUcookie/mcd-deal-hunter

> A skill for AI clients like DeepSeek Harness that uses the McDonald's MCP to calculate the real cost of an order with coupons and whether pickup or delivery is cheaper. It breaks down what makes up the price difference instead of just giving a total.

- Magnitude: 4.2 out of 10 — Early signal
- Stars: 123 total · +0 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 61 by evening
- Star trust: star growth looks organic
- Category: AI agents · Created: 2026-10-24 · Last push: 2026-10-24
- GitHub: https://github.com/TUcookie/mcd-deal-hunter · Page: https://gitnova.dev/en/r/TUcookie/mcd-deal-hunter

## Useful for

- Calculate the cost of an order with available coupons
- Compare pickup and delivery prices for the same meal
- Check whether adding items to hit a discount pays off

## Why it’s here

- Star-counter measurements on 2026-10-26 (UTC), 00:12–02:16: 123 → 123 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +61 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 123 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #171.

## 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: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 61 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-24 … 2026-10-26: 46, 76, 0

## Spotted in now

- Top new repositories this week: #171

## More in this category

1. **AgriciDaniel/claude-seo** — 7.9 · Breakout · AI agents · Python · +140 stars measured 2026-10-26, 00:11–02:15 UTC, ≈ 962 by evening
   SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan.
   Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md
2. **makecindy/cindy** — 7.7 · Breakout · AI agents · TypeScript · +130 stars measured 2026-10-26, 00:11–02:15 UTC, ≈ 827 by evening
   Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile…
   Full card: https://gitnova.dev/en/r/makecindy/cindy.md
3. **unclebob/ub-mode** — 7.2 · Early signal · AI agents · +35 stars measured 2026-10-26, 00:11–02:16 UTC, ≈ 393 by evening
   An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory.
   Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md
4. **DenisSergeevitch/ex-ussr-kinship-research** — 7.2 · Early signal · AI agents · Python · +3 stars measured 2026-10-26, 00:11–02:16 UTC, ≈ 440 by evening
   A skill for AI agents (Codex, Claude Code) that turns them into a family-history researcher for the former USSR: church books, civil, military, repression and deportation records. It keeps registers, checks evidence and replies in the…
   Full card: https://gitnova.dev/en/r/DenisSergeevitch/ex-ussr-kinship-research.md
5. **morganlinton/BeautifulRust** — 7.1 · Early signal · AI agents · Python · +54 stars measured 2026-10-26, 00:11–02:16 UTC, ≈ 477 by evening
   A Claude Code plugin with a rust-best-practices skill that teaches Claude to write idiomatic, robust Rust. The skill loads automatically whenever a task involves Rust, cargo, crates, the borrow checker, clippy, or .rs files.
   Full card: https://gitnova.dev/en/r/morganlinton/BeautifulRust.md

---

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.