SkillOpt treats an agent skill document as trainable state while keeping the model weights frozen, then accepts bounded text edits only when a held-out validation score improves. The repo also describes SkillOpt-Sleep for reviewing local coding-agent sessions and staging long-term skill changes, which makes the evidence boundary worth watching before anyone treats it as trusted memory.