What problem does it solve? AI agents often waste tokens and time on unbounded reasoning loops, redundant tool calls, and repository-wide exploration for localized tasks. This Skill defines a universal runtime policy that keeps agents efficient, focused, and verifiable. ## Core Features & Use Cases - Reasoning Circuit Breaker: Detects repeated reasoning, recursive planning, and unproductive analysis, then forces consolidation, decision, and execution. - Resource Budgets: Enforces strict tool, context, and scope budgets so agents prefer targeted operations over broad exploration. - Progressive Execution & Verification: Applies an Understand-Decide-Execute-Verify cycle with escalation rules for high-risk changes like security or architecture decisions. - Use Case: When an agent works on files under src/, this policy prevents it from scanning the entire repository, re-reading files, or endlessly reconsidering decisions, ensuring a verified result with minimal token usage. ## Quick Start Apply the runtime policy to keep the agent focused and efficient while modifying files under src/.