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Last analyzed 9/9/2026

Language Model Security Database

985 research findings · 1123 evaluated models

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1 entry

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Published 8/6/2026
Analyzed 8/13/2026

Self-evolving agent-skill systems may promote recurring, attacker-controlled execution records into persistent reusable instructions. The paper evaluates whether poisoned but task-plausible trajectories survive aggregation and appear in generated skill artifacts, using inert canary behaviors and two structurally different skill-evolution pipelines.

When Experience Becomes Instruction: Trajectory Poisoning in Self-Evolving Agent Skill Systems
Evaluated models: GPT-5.4, MiniMax M2.5, DeepSeek V3.2 +3 more

Source: arXiv

Research methodology

Entries summarize publicly available primary-source security research. Model names reflect only systems explicitly evaluated by the cited paper, and measurements are research-reported unless independent verification is stated.