What problem does it solve? When an AI agent gets stuck in a loop - retrying variants of a failing command, re-reading the same files, or guessing at causes it has not measured - it burns time and context without progress. This Skill provides a hard brake: either the human types www, or the agent recognizes its own thrashing, and all speculative action stops until the situation is properly assessed. ## Core Features & Use Cases - Dual trigger mechanism: The human typing www stops all tool calls immediately, and the agent applies the same brake on itself when it detects thrashing behavior. - Three-question gate: Work only resumes after answering, in order: What do we have (measured facts), What are the values (concrete paths, ports, exit codes), and What are we trying to achieve (the restated goal). - Anti-guessing discipline: Answers must cite something actually checked, not beliefs; unmeasurable facts must be measured before continuing, and the next action is one reasoned step or a numbered question to the human. - Use Case: An agent has tried five variations of a build command that keeps failing. Instead of a sixth guess, it stops, confirms the real error text, lists the actual flags and exit code, restates the goal, and then takes one informed step. ## Quick Start Type www to stop the agent immediately and require it to answer what we have, what the values are, and what we are trying to achieve before continuing.