Understanding the AgentBench Skill: Benchmarking Your OpenClaw AI Agents

AgentBench is a comprehensive evaluation suite within the OpenClaw framework that tests AI agents across 40 real-world tasks, assessing their configuration, reliability, and multi-step workflow handling. It uses a multi-layered scoring methodology—automated structural checks, metrics analysis, and behavioral analysis—to provide a holistic assessment beyond simple pass/fail metrics. Users can run benchmarks via the /benchmark command with options for full suites, domain-specific tests, or strict verification modes.