What problem does it solve? Reviews often default to polite confirmation instead of genuine scrutiny, letting logic errors, security holes, and edge cases slip through. This Skill forces an adversarial review stance that actively hunts for what is wrong rather than confirming what is right. ## Core Features & Use Cases - Adversarial Review Stance: Assumes problems exist and systematically searches for logic errors, security holes, missing validation, and unclear naming. - Edge Case Coverage: Checks empty input, null values, maximum values, and concurrent access scenarios. - Severity-Prioritized Output: Structures findings as issue, impact, and fix, grouped by severity with a summary count. - Use Case: Before merging a pull request, ask for a critical review and receive a prioritized list of concrete issues with fixes instead of a vague approval. ## Quick Start Ask the AI to critically review your code or design and list every problem it can find with a fix for each.