OASYS @ MIT

VERDICT: NEARLY_IDENTICAL lined-up score: 93/100 (sub-agent) Same 8 turns line-for-line: print len(context)+head/tail (turns 1-2 byte-identical) -> split lines -> filter User:/Instance: -> parse ‘ || ‘ into (user_id,question) -> filter to target user -> llm_query_batched classify into the SAME 6 categories -> count two categories -> answer[content]=f’X is {comparison} than Y’. Only differences: target user id (84905 vs 62297), which two categories are compared, var names, split idiom. Both reward 1.0.