What is the primary objective of Zero-Day Attack?

Zero-Day Attack is an asymmetric strategy game where players breach a firewall, plant an exploit, and then retreat as far as possible to maximize their path segment score.

How is the winner determined in Zero-Day Attack?

The winner is the player with the most path segments of their own color connecting their Exploit and Ghost tokens at the end of the game.

What are the three tokens used in the game?

Players use the Attack token to reach the firewall, the Exploit token to mark the breach point, and the Ghost token to navigate the retreat phase.

How does the path matching system work in this game?

Tiles have Red, Blue, or Purple paths. Red connects to Red, Blue to Blue, and Purple acts as a wildcard connecting to any color. Improper color matching is an invalid placement.

Zero-Day Attack Game Mechanics

Name: Zero-Day Attack Game Mechanics
Author: jwmyers

byjwmyers

Game Development

Provides expert knowledge of Zero-Day Attack game rules and logic for digital implementation on specialized board hardware.

About

This skill acts as a comprehensive logic engine and reference guide for the Zero-Day Attack strategy game, specifically tailored for developers building digital versions. It enables Claude to provide precise guidance on complex tile-laying mechanics, color-coded path validation, and the transition between the three core game phases: Attack, Exploit, and Ghost. By incorporating specific 16:9 landscape layout constraints and scoring algorithms, this skill ensures that digital implementations remain faithful to the original mechanics while optimized for modern display hardware.

Key Features

Digital-first layout specifications for 1920x1080 displays
Automated scoring algorithms based on path segment counting
0 GitHub stars
Detailed token system behavior and placement restrictions
Logic for color-coded path matching and movement validation
Comprehensive rules for Attack, Exploit, and Ghost phases

Use Cases

Calculating end-game scores and tiebreaker conditions for players
Developing automated move validation for a digital board game engine
Implementing path-finding AI that adheres to color-continuity rules

About

Key Features

Digital-first layout specifications for 1920x1080 displays
Automated scoring algorithms based on path segment counting
0 GitHub stars
Detailed token system behavior and placement restrictions
Logic for color-coded path matching and movement validation
Comprehensive rules for Attack, Exploit, and Ghost phases

Use Cases

Calculating end-game scores and tiebreaker conditions for players
Developing automated move validation for a digital board game engine
Implementing path-finding AI that adheres to color-continuity rules