ClawProBench: Trace-Aware Agent Evaluation with Runtime Coverage and Frozen Tasks
YuanHang Xiao · hf · 2026-08-26
A new benchmark, ClawProBench, has been released on Hugging Face for evaluating AI agents via execution traces.
Core Features:
- Trace-Aware: Evaluates based on runtime coverage, not just final results.
- Frozen Holdouts: Uses workplace-style frozen tasks to prevent cheating in dynamic environments.
- Critical Insight: Reveals that final-answer rankings often obscure native runtime failures and differences in process quality.
This benchmark aims to provide a more accurate measure of agent configurations in real-world workflows.
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