Reimagining service delivery in the agentic era with Google Public Sector
cloud.google.com·1d ago
AI Research
arXiv CS.AI·Jun 15·5 min read
SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing
TL;DR
Existing methods for evolving agent skills rely on privileged feedback, which is often unavailable. SkillAudit is a framework that uses paired trajectory auditing to evolve skills without ground-truth feedback.
✦ Why It Matters
Engineers can evolve agent skills effectively without needing access to hidden feedback or external validation metrics.
Key Takeaways
- Utilize SkillAudit for evolving agent skills effectively.
- Implement paired trajectory auditing to isolate skill impacts.
- Leverage PACE for interpreting behavioral changes.
- Ensure task constraints are met with a structural verifier.
How It Works
SkillAudit operates by executing tasks with and without the candidate skill, allowing for a direct comparison of agent behavior. This paired trajectory auditing isolates the effects of the skill, enabling precise adjustments.
The PACE evaluators then analyze these differences, linking them to specific sections of the skill documentation, which guides necessary edits. The structural verifier checks that any updates comply with predefined task constraints, ensuring that harmful changes are rolled back.