VERDICT: NEARLY_IDENTICAL lined-up score: 95/100 (sub-agent) Same 4 turns: SHOW_VARS() -> print(context[:500]) -> define ~N target terms + count each via context.count() into a dict -> sort + answer[content]=ā[Answer]\nā+ranked list. Differences: the term list (task data), one case-insensitivity tweak (context.lower().count), a renamed lambda var. Both reward 1.0.