What problem does it solve? Texts about technology, AI, and social change often contain unjustified causal claims: correlation treated as causation, influence inflated into determination, or distributed transformations attributed to a single technology. This Skill provides a rigorous framework to audit causal language and determine whether each claim is proportionate to the evidence. ## Core Features & Use Cases - Causal Claim Auditing: Identify exact causal claims, classify their strength (weak to very strong), and evaluate mechanisms, conditions, and counterfactual dependence. - Determinism and Agency Detection: Flag technological determinism, improper attribution of intention to AI systems or infrastructures, and collapsed feedback loops. - Structured Reporting: Produce standardized findings with evidence grades, classification levels (A–E), and confidence ratings for each causal claim. - Use Case: When reviewing an essay claiming "AI inevitably transforms education," use this Skill to test whether the claim confuses enablement with necessity, ignores institutional mediation, or reduces distributed causation to one technology. ## Quick Start Analyze the attached essay for unjustified causal claims, technological determinism, and feedback structures using the causality-propagation framework.
