Paper proposes a portable specification for the "agent harness" used with LLMs
The arXiv preprint (arXiv:2610.40917v1) decomposes the "agent harness"—the infrastructure surrounding large language models—into eight functional components and proposes a portable, versioned specification framework that records which model ran in which harness. The authors argue such a record is needed because harness configurations can cause multi‑fold differences in reported scores, comprise much of an agent's attack surface, and are not captured by existing model or agent cards or current AI documentation laws.