Free lessonsTrustworthy Evaluation of Autonomous Agents with Claw-Eval
Trustworthy Evaluation of Autonomous Agents with Claw-Eval
1 lessons
Lesson 1 · 21 min
Claw-Eval: Evaluating Agent Process, Safety, and Robustness
Experiment：Build a more trustworthy Agent evaluation view from task completion, execution traces, and repeated runs—not only the final answer.
Open this lesson on Bilibili熊二等兵Bilibili seriesThe lesson is in Chinese and plays from Bilibili.
Not translated yet — showing the Chinese originals.
About the series
Learn how Claw-Eval evaluates autonomous agents beyond final outcomes, covering execution process, safety, robustness, and repeated-run reliability.
- Who it is for
- Testers, engineers, and product teams designing Agent evaluation sets, task-completion metrics, or release criteria.
- What you can do afterwards
- Understand trajectory evidence, the three evaluation dimensions, and how Average Score, Pass@k, and Pass^k support repeated experiments.
Training a whole team? It is arranged by scope. Book an evaluation