What problem does it solve? AI agents often produce verbose, unstructured, or inconsistent output that wastes tokens and breaks downstream parsing. This Skill enforces global behavior rules covering verbosity, efficiency, output format, and hallucination prevention across every agent response. ## Core Features & Use Cases - Output Discipline: Enforces structured output (JSON, bullets, tables), ASCII-only characters, and no conversational filler or status narration. - Efficiency Rules: Limits redundant file reads, caps tool calls at 50, and requires reading before writing to avoid wasted iterations. - Hallucination Prevention: Forbids inventing file paths, API endpoints, or field names; unknown values must return null or "UNKNOWN". - Use Case: Apply as a global behavior modifier when running coding agents, multi-agent systems, bots, or scheduled tasks where parseable, token-efficient output matters. ## Quick Start Ask the agent to apply the all-skills behavior rules so every response is concise, structured, and free of invented values.