ai-evaluation-verification

What problem does it solve?

AI outputs can mislead decisions; this skill provides a structured approach to validate reasoning, ensure alignment with first principles, and verify against external evidence to prevent confident nonsense and incomplete conclusions.

Core Features & Use Cases

• Gate-based validation: logic check, first principles check, and reality check for every output.
• Error-detection patterns: detect confident nonsense, false completeness, category errors, and anchoring on false premises.
• Verification methods: spot-check, falsification testing, counter-prompting, source verification, and consistency testing.
• Stopping rules and confidence scoring to document verification status and guide decision-making.

Quick Start

Activate this skill to apply three validation gates (logic, first principles, reality) to every AI output before acceptance.