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The Detector Recognized the Source More Than the Threat

MaliciousSkillBench consolidates 9,740 agent-skill packages and tests whether detection transfers beyond familiar feeds.

Published Updated Story ID: mp-2026-08-23-013
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Summary

MaliciousSkillBench consolidates 9,740 agent-skill packages and tests whether detection transfers beyond familiar feeds.

The benchmark reduces 8,414 raw malicious records to 7,539 normalized identities and evaluates both learned detectors and off-the-shelf scanners. Random-split macro F1 reached as high as 0.932, but source-disjoint performance fell to 0.653–0.665; the strongest text model retained high malicious recall while falsely flagging 62.4 percent of benign skills from held-out sources.

Why it matters

MaliciousSkillBench consolidates 9,740 agent-skill packages and tests whether detection transfers beyond familiar feeds.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. MaliciousSkillBench consolidates 9,740 agent-skill packages and tests whether detection transfers beyond familiar feeds.

    Evidence: source-2026-08-23-013

Sources

  1. arXiv preprint 2608.19901arXiv · primary research

Corrections

No corrections have been recorded for this story.