What problem does it solve? When two or more fixes built on the same assumption keep failing the same gate, teams often write yet another fix instead of questioning the assumption itself. This Skill redirects debugging effort from patching symptoms to testing the premise that all failed fixes share. ## Core Features & Use Cases - Premise Identification: Write down the single sentence every failed fix assumed, making the hidden assumption explicit and testable. - Actor Census: Run a rerunnable census script that counts which actors hold the imbalance before attempting the next fix. - Asymmetry Removal: Rotate, randomize, or relocate the role causing the skew instead of adding compensating work like return paths or periodic rebalances. - Use Case: A load-balancing fix has failed three times under the assumption that traffic is uniform. Use this Skill to census per-node load, discover one node always holds the hot role, and rotate that role instead of adding another retry layer. ## Quick Start Ask the AI to apply the attack-the-premise principle to analyze why your last two fixes for the same failing gate did not work.