MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection
Agent Skills extend LLM agents with reusable instruction packages that may also include scripts, resources, and service configuration. This creates a direct distribution channel for malicious behavior, yet existing malicious-Skill datasets are fragmented across sources, artifact formats, evidence regimes, and benign coverage; duplicated and structurally related content further complicates direct aggregation and evaluation. We present MaliciousSkillBench, a comprehensive benchmark for malicious Agent Skill detection. We consolidate 13 public sources, 11 of which contribute Core malicious artifacts, and reduce 8,414 raw malicious records to 7,539 normalized-unique identities in 4,588 operat...
| Authors | Yue Wang, Yi Liu, Gelei Deng et al. |
|---|---|
| Primary category | cs.CR |
| Published | 20 August 2026 |
| Last updated at source | 20 August 2026 |
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