200 real-world skills

The '200 real-world skills' dataset is a benchmark used to evaluate the effectiveness of the MalSkills framework in detecting malicious skills by analyzing security-sensitive operations across heterogeneous artifacts.

Papers using 200 real-world skills (1)

"Elementary, My Dear Watson." Detecting Malicious Skills via Neuro-Symbolic Reasoning across Heterogeneous Artifacts2026