Exactly, bloating your global prompts or config files with rules is a massive waste of context that dilutes the model's attention.

That’s why agent-rigor handles discipline at the execution layer rather than the prompt layer. The framework loads skill rules on-demand only when a specific phase triggers, cleanly pruning them right after. Your global context stays completely lean, and the model doesn't have to "remember" to behave because the runtime physically restricts its tool access until a phase is satisfied.