TEMPER evaluates the harness wrapped around a model — the system prompt, skill files, and tool definitions — not the model itself. It identifies where that environment is helping or hurting performance, generates targeted fixes using Gemini, confirms the fixes work, and honestly flags what it cannot fix. The key output is the delta column: harness score minus bare-model baseline on identical questions. A negative delta on Tool Call Accuracy means your harness is actively degrading a capability the model natively has.
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