#skill-injection News & Analysis

3 articles tagged with #skill-injection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBearisharXiv – CS AI · Jun 97/10

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POISE: Position-Aware Undetectable Skill Injection on LLM Agents

Researchers introduce POISE, a novel skill-poisoning attack against LLM agents that achieves 89.3% success by embedding malicious triggers into skill instructions in ways that evade both automated detection and human inspection. The attack exploits the reliability-stealth trade-off in existing injection methods, demonstrating that current security defenses struggle to distinguish poisoned skills from legitimate ones due to high false-positive rates.

🧠 GPT-5

AINeutralarXiv – CS AI · Jun 27/10

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Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents

Researchers demonstrate that LLM-based terminal agents face significant security risks from skill injection attacks, where malicious instructions embedded in reusable skill files can compromise system integrity. Guardian-based defenses—both static and dynamic intermediary agents—reduce attack success rates by over 50%, though dynamic guardians prove more robust against sophisticated attack reframing attempts.

AIBullisharXiv – CS AI · May 297/10

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SkillsInjector: Dynamic Skill Context Construction for LLM Agents

SkillsInjector introduces a dynamic method for optimizing how large language model agents access and utilize skill libraries. Rather than treating skill selection as static, the approach adaptively determines which skills to include, how many to present, and how to describe them based on task requirements, achieving measurable performance improvements across multiple benchmarks.