clawprobench
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ClawProBench
ClawProBench is a trace-aware benchmark for runtime-native agent evaluation, instantiated on OpenClaw. It provides a live-first evaluation harness with 102 active scenarios and a frozen holdout set for robust ranking. Trials are scored from execution traces via a safety-gated formula combining correctness, process quality, and efficiency.
- Paper: ClawProBench: Trace-Aware Evaluation of AI Agents with Runtime Coverage and Frozen Workplace-Style Holdouts
- Project page: https://suyoumo.github.io/bench/
- GitHub repository: https://github.com/suyoumo/ClawProBench
Sample usage
A one-trial smoke run on the default ranking benchmark:
python3 run.py run \
--model '<MODEL>' \
--execution-mode live \
--benchmark-profile core \
--trials 1 \
--cleanup-agents
For full details, see the GitHub repository.
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