review-laziness

Audit AI agent drafts to detect laziness by evaluating inputs like thinking_result and planning_process for skipping questions, vague phrasing, and templated content. It outputs a structured laziness report with severity levels and remediation guidance.

Agent laziness in travel planning outputs involves taking shortcuts like skipping follow_up_questions, using templated fillings, or copying popular lists instead of generating rigorous, tailored route planning and decision summaries.

Review the planning process by checking inputs such as content_insights and route_validation against expected thoroughness. The evaluation identifies lazy patterns and returns a structured report with recommended fixes to improve quality.

Yes, you can use this quality assurance skill for route validation checks. It audits route_validation inputs within travel-planning coordinator drafts to prevent shortcuts and ensure rigorous questioning before user-facing delivery.

Yes, this skill works without external dependencies for risk detection. It autonomously evaluates agent drafts and planning_process inputs to identify templated content and list-mimicry, returning a standalone laziness report.

Audit AI agent drafts for laziness and list-mimicry before finalizing travel plans or user-facing delivery. This prevents vague phrasing and shortcuts in the thinking_result and answer stages from reaching the end user.