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Wenbo Guo

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#artificial intelligence Preprint Sep 2026

SKILLLITE: Evidence-Guided Malicious Skill Auditing with Compact LLMs

Experiments show that SKILLLITE improves malicious Skill detection across different compact LLM backbones and outperforms existing representative auditing baselines, and generalizes to behaviorally confirmed in-the-wild malicious Skills.

Hao-Ran Ou, Ge-Lei Deng, Xuan-Ye Zhang et al. · 0 citations
Jul 2026

Skills That Don't Exist: A Large-Scale Study of Hallucinated Skill Recommendation in LLM Agents

LLM agents acquire new capabilities by downloading skills from open registries. Instead of browsing these catalogs manually, developers typically ask the agent to recommend and install a skill. This convenience hides a risk: agents frequently invent names for skills that exist in no registry. We term this flaw skill na...

Wei Yuan, Wenbo Guo, Feng Dong et al. · 0 citations
Preprint Aug 2026

Mutate to Bypass: Autonomous Endpoint Evasion via Knowledge-Driven Multi-Agent Orchestration

Public reports and open-source resources expose many EDR evasion techniques, but it remains unclear whether commercial Endpoint Detection and Response (EDR) systems can withstand these documented attacks. Evaluating them requires turning fragmented security knowledge into working payloads and refining those payloads fr...

Wei Yuan, Wenbo Guo, Qing-Yun Du et al. · 0 citations

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