So how should you build a harness? PawBench distills 4 principles: > Inform Fully — tell the model where cwd, workspace, outputs, and SKILL.md live > Equip on Demand — match the toolset to the…

🤖 PawBench ⭐ 48 stars LLMs can chat, but how well do they handle a control harness? Put your AI agents to the test with this precision performance benchmark. 🔗 #AI #MachineLearning

阿里通义实验室推出智能体评测基准 PawBench v1.0，首次将底座模型与运行框架纳入统一评测体系。评测针对 9 个大模型与 Hermes、OpenClaw、QwenPaw 三款框架进行交叉测试，包含 150 道真实任务与 4050 个测试单元。 结果表明，运行框架的设计直接决定了智能体能力是否能稳定落地。在模型相同的情况下，三款框架存在明显的性能极差，QwenPaw 得分…