AI Output Critical Audit Designer

What This Skill Does

Generates a structured protocol for critically auditing AI-generated text against Ennis's (2015) six critical thinking standards, clarity, accuracy, precision, relevance, depth, and breadth, with adaptations that address AI-characteristic failure modes not covered by general critical thinking frameworks. The key pedagogical challenge is that AI-generated text is fluent, confident, and well-formed, which makes it harder to evaluate critically than text that looks suspicious. Standard source credibility heuristics (Who wrote this? Who funds it?) break down because the author is an LLM. What replaces them is a close-reading protocol trained on AI-specific patterns: assertions stated with unearned confidence, claims with plausible-sounding precision but no verifiable source, expert-sounding language without genuine epistemic depth, and the systematic absence of "I don't know." This skill generates the domain anchor for the ai-literacy suite: an annotation protocol (students mark up AI text in real time), an audit rubric (scoring AI text Weak/Moderate/Strong on each CT standard), push-back sentence stems calibrated for AI failure modes, and a teacher modelling script. This is the equivalent of sourcing-skill-builder in the historical-thinking domain, the foundational move students must learn before they can do the more specialised work.

Evidence Foundation