SkillBench Takeaways: Safety Failures, Tool Boundaries, and Popularity vs. Quality

Agent skills, which are essential for AI businesses, are portable workflows that can be executed by any employee, but their rapid proliferation raises safety concerns. Arcade.dev's SkillBench scores these skills across six dimensions, offering a letter grade from A to F. Despite scoring over 39,000 skills, 73.7% of them still possess risky safety scores, emphasizing that a passing grade does not ensure safety, as safety is determined by runtime properties. The tool boundary dimension, which dictates what a skill can do versus what it claims to do, reveals that 32.1% of skills have weak boundaries, indicating a lack of defined scope and permission checks. Popularity does not equate to quality, as 62% of the most popular skills are graded C or below, highlighting that trust and adoption are distinct metrics. The overarching message is that the trustworthiness of skills depends on runtime governance, emphasizing verification over mere popularity or passing grades.

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