# ilAoC/mcd-gacha-collector > A gacha card-collection Skill for WorkBuddy built on McDonald's China MCP: it turns 160+ menu items into collectible SSR/UR/R cards with price and calories, and drawn cards can be ordered directly. - Magnitude: 2.3 out of 10 — Early signal - Stars: 126 total · +2 stars measured 2026-10-25, 15:10–17:16 UTC, ≈ 4 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-21 · Last push: 2026-10-25 - GitHub: https://github.com/ilAoC/mcd-gacha-collector · Page: https://gitnova.dev/en/r/ilAoC/mcd-gacha-collector ## Useful for - Draw a meal card under a given budget and see its price, calories and health score - Check calories, protein and sodium of a menu item via the nutrition query - Track collected cards and remaining points in a local ledger, then place a real order after confirmation ## Why it’s here - Star-counter measurements on 2026-10-25 (UTC), 15:10–17:16: 124 → 126 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day. - The repository is 4 days old and already has 126 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## 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: 15 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-21 … 2026-10-25: 2, 2, 38, 27, 2 ## More in this category 1. **makecindy/cindy** — 7.9 · Breakout · AI agents · TypeScript · +594 stars measured 2026-10-25, 00:10–17:54 UTC, ≈ 785 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 2. **google-gemini/gemini-cli** — 7.2 · Breakout · AI agents · TypeScript · +336 stars measured 2026-10-25, 00:09–17:54 UTC, ≈ 466 by evening Google's open-source AI agent that runs Gemini directly in the terminal: understands and edits code, answers questions about a repository and automates tasks. Supports MCP servers and a non-interactive mode for scripts. Full card: https://gitnova.dev/en/r/google-gemini/gemini-cli.md 3. **morganlinton/BeautifulRust** — 6.8 · Early signal · AI agents · Rust · +292 stars measured 2026-10-25, 00:12–17:54 UTC, ≈ 386 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 4. **DenisSergeevitch/ex-ussr-kinship-research** — 6.7 · Early signal · AI agents · Python · +222 stars measured 2026-10-25, 13:46–17:54 UTC, ≈ 278 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. **JoasASantos/REA-Prompts** — 6.6 · Peaking · AI agents · +279 stars measured 2026-10-25, 00:10–17:54 UTC, ≈ 376 by evening A curated collection of prompts for using REA (Reverse Engineer Anything) with AI coding agents to inspect binaries, firmware, kernels, games, APKs, Electron apps and websites. Covers installation, feature tracing, cloning, vulnerability… Full card: https://gitnova.dev/en/r/JoasASantos/REA-Prompts.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 2026-10-25 17:55 UTC, updated every 30 minutes.