Agent Evaluation is an OpenClaw skill. Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring.where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent. It belongs to the Other collection. For background, see LangSmith - LLM Observability Platform (LangChain) in our wiki.
Agent Evaluation 测试、监控工具，支持监控、测试。
Agent Evaluation has 1.6K downloads from the OpenClaw community.
Real-time monitoring
One-command install via OpenClaw
Installing Agent Evaluation in OpenClaw takes just one command. Make sure you have OpenClaw set up and running before proceeding.
Run the following command in your terminal to add Agent Evaluation to your OpenClaw instance:
openclaw skill install agent-evaluationConfirm the skill is properly installed and ready to use:
openclaw skill listThe skill is now available in your OpenClaw conversations. Simply describe what you want to accomplish, and OpenClaw will automatically invoke Agent Evaluation when relevant.
What people do with Agent Evaluation:
| Author | rustyorb |
| Category | Other |
| Version | 1.0.0 |
| Updated | 2026-02-26 |
| Downloads | 1,619 |
| Score | 916 |
| Homepage | https://clawhub.ai/rustyorb/agent-evaluation |
LLM benchmarks are standardized frameworks for assessing the performance of large language models (LLMs). These benchmarks consist of sample data, a set of questions or tasks to test LLMs on specific With Agent Evaluation on OpenClaw, you can handle this directly from your AI assistant.
LLM benchmarks are standardized tests that assess LLM performance across various tasks. Typically, they check if the model can produce the correct known response to a given input. Common LLM benchmark With Agent Evaluation on OpenClaw, you can handle this directly from your AI assistant.
Some of the important testing approaches are manual testing and prompt engineering, automated evaluation, human-in-the-loop testing, real-time monitoring, and pointwise and pairwise testing. LLM testi With Agent Evaluation on OpenClaw, you can handle this directly from your AI assistant.
Run "openclaw skill install agent-evaluation" in your terminal. OpenClaw must be set up first. After install, the skill is available in your conversations automatically.
Yes. Agent Evaluation is free and open-source. Install it from the OpenClaw skill directory at no cost. Maintained by rustyorb.
Learn more from these authoritative sources:
Add Agent Evaluation to your OpenClaw setup. One command. Done.
Install SkillDiscover other popular skills in the Other category.