Paper

SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing

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arXiv:2606. 14239v1 Announce Type: new Abstract: Agent skills are structured procedural packages that guide frozen LLM agents in specialized workflows.

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Authors: Haowen Gao, Haoran Chen, Can Wang, Shasha Guo, Liang Pang, Zhaoyang Liu, Huawei Shen, Xueqi Cheng
Released: 2026-06-15 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing overlaps with clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)". Matching terms: latin, eval, line, without, candidate, test. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.14239

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