ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
Autonomous CLI agents can now execute hundreds of actions across multi-hour sessions: writing code, executing shell commands, browsing the web, and managing cloud infrastructure, all with minimal human oversight. Does greater autonomy invite greater risk? We introduce ANCHOR, an automated auditing framework that stress-tests CLI agents on illegal tasks grounded in public US court cases. ANCHOR deploys an auditor agent fine-tuned on dark personality data using supervised and reinforcement fine tuning. This auditor roleplays persistent malicious users who decompose tasks, reframe requests upon refusal, and adapt strategies across multi-turn interactions. Evaluating frontier CLI agents, we f...
| Authors | Kefan Song, Yanjun Qi |
|---|---|
| Primary category | cs.AI |
| Published | 11 July 2026 |
| Last updated at source | 11 July 2026 |
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