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This paper presents Skill Runtime Intelligence, a passive runtime evidence architecture that reconstructs Skill lifecycle stages across heterogeneous coding agents using deterministic evidence graphs and evidence-calibrated diagnoses, without relying on model explanations for deterministic facts.