thoroughness-check-etto-skill

To prevent reckless decisions, apply an ETTO-based preflight that evaluates task-critical factors like risk, reversibility, blast radius, and precision. This preflight enforces explicit execution mode selection and transparent action bounds before an AI agent acts.

An ETTO preflight check is a risk assessment process that balances speed and thoroughness for AI agents. It evaluates speed, accuracy, reversibility, blast radius, uncertainty, and the cost of being wrong to determine the appropriate action rigor.

Choose execution modes by classifying task risk, reversibility, and time pressure before acting. The preflight evaluates these factors to suggest Fast, Balanced, or Thorough modes, ensuring appropriate rigor for coding changes or planning.

Enforce thorough execution mode when tasks involve production data, irreversible effects, or safety concerns. The preflight requires escalation for these high-stakes scenarios to prevent unintended consequences and reduce errors.

Yes, this preflight risk assessment works for AI planning, coding, and high-stakes guidance. It targets AI agents across these domains by applying risk, uncertainty, and blast radius evaluations to reduce errors before meaningful tasks.