SkillMarker: A KGW-Based Watermarking Method for Agent Skill Ownership Verification
SkillMarker watermarks agent skills with KGW so owners can verify copies without breaking procedural accuracy.
SkillMarker is a KGW-based watermark for agent skills that must remain factually and procedurally accurate. It separates essential knowledge from flexible wording, then searches alternative expressions to embed a stronger signal without breaking the instructions. The authors release an open-source toolkit for watermark embedding, quality auditing, and detection. The method is aimed at ownership verification and leakage tracing when skills are copied wholly, partly, or folded into other skills.
- KGW watermark targets compact agent-skill instructions.
- Rewriting preserves essential knowledge while varying flexible wording.
- Candidate search strengthens the signal under quality constraints.
- Open toolkit covers embedding, auditing, and detection.
From the original article
1 min read at huggingface.co
Agent skills encode operational procedures and domain expertise as reusable knowledge assets, yet their distribution in plaintext exposes them to unauthorized copying and leakage. However, practical mechanisms for skill ownership verification and leakage tracing remain underdeveloped.
By Alan Tang, Lifeng Wang, Gang Wu · huggingface.co
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.