Two Benchmark Sets for Agent Evals: Low-Pass Capability Set vs Near-100% Regression Set
HanchungLee · x · 2026-10-17
Practitioner discussion on agent eval design: maintain two benchmark sets — a capability set with very low pass@1 to hill-climb tomorrow's behaviors, and a regression set near 100% pass@1 to guard against regressions. The quoted post adds: evals should push the frontier rather than map the "now," future-looking behavior lacks traces, and RL tasks typically target a 0.2–0.6 pass rate to keep a climb signal — the same logic applies to evals never used for hill climbing.
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