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HuggingFace Papers 8/10 signal

SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use

agenticevaltool-use
What happened
Introduces SkillCoach, a framework that utilizes self-evolving rubrics to evaluate and enhance agentic skill-use. Rather than relying on binary outcome-only metrics, SkillCoach analyzes the entire execution process—including skill selection, execution, composition, and reflection—to provide granular, iterative feedback.
Why it matters
Shifts agent evaluation from coarse outcome-based metrics to granular, process-oriented self-improvement loops.
The take

Evaluating agents is notoriously difficult because binary success/failure metrics don't tell you *where* the trajectory failed. SkillCoach's focus on process-oriented, self-evolving rubrics is a highly practical approach to debugging and optimizing complex agentic workflows.

Do this
Adopt process-oriented evaluation rubrics (tracking selection, execution, and reflection steps) instead of relying solely on final success metrics to debug your agentic pipelines.
Read the source →

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