tl;dr – we present [Prism], a scaffold for automating science-of-evals research: work that makes the evaluation the primary object of study. The scaffold provides Claude Code with sub-agents and resources for carrying out scientifically rigorous investigations into eval dynamics and, by extension, model behaviours.We talk through an autonomous Prism run on the Agentic Misalignment setting which demonstrates how minor perturbations to GPT-4.1's prompt cause the model to adopt more indirect methods of blackmail (e.g. telling a trusted ally to blackmail on their behalf). Moreover, the eval's built-in scorers fail to track this kind of misbehaviour, only acknowledging a blackmail attempt if the model mentions the leverage directly in an email to the blackmail victim. This autonomous investigation thus demonstrates one way in which the eval fails to measure what it claims.This project is ongoing, so please reach out with questions and feedback. We would be excited to see you use Prism in ne...