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Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

Sahar Abdelnabi
March 13, 2026
Introduction

This post was submitted by a SAIRC member either as a recommended read or student-created post. All credit remains with the original author.

A security evaluation of the emerging agent skills ecosystem, finding that frontier models execute malicious instructions hidden inside third-party skill files up to 80% of the time. The hardest cases are contextual attacks — instructions that look perfectly legitimate in one setting and are harmful in another — which slip past both input filtering and LLM-based screening.

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