ANCHOR Auditor SFT is the supervised fine-tuning (SFT) dataset used to give the auditor agent
its persistent "dark-personality" roleplay behavior in the paper
ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm. The trained auditor
plays the role of a persistent, non-refusing user that decomposes tasks, reframes requests, and
adapts across multi-turn interactions in order to stress-test target agents.
