Agentbaiting Examples?
6.3BRAINROT SCOREAgentBaiting Crafting content, code, or documents specifically designed to trick an AI agent into taking a harmful or unintended action — hidden instructions, malicious file names, or deceptive metadata aimed at the agent rather than a human reader.
Origin:Named directly by AI security researchers and GitHub users documenting real attacks, describing this specific class of exploit that targets an autonomous agent's decision-making rather than exploiting a traditional software vulnerability.
First Seen:2025
Peak Era:2025-2026 (AI Security Era)
Aura Impact:+15 Aura (Catching AgentBaiting Before It Executes) / -20 Aura (An Agent Falling for Obvious AgentBaiting in Production)
EXAMPLE USAGE
"That repo had a hidden instruction buried in a file name, straight-up AgentBaiting aimed at any coding agent that touched it."
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