How a 394-skill Claude library defines and enforces its 4.38/5 quality claim

A free library of 394 Claude AI skills for media professionals uses a documented, two-layer evaluation framework to back its 'quality-tested' label rather than relying on marketing language. Every skill must pass a seven-dimension rubric — covering coherence, relevance, accuracy, completeness, usefulness, format fit, and Editorial Naturalness — with a minimum mean score of 4.0 out of 5.0 on each dimension to reach 'stable' status. The Editorial Naturalness dimension specifically flags common AI writing patterns and acts as a hard floor, meaning a skill that scores well on all other dimensions can still be rejected. Binary code checks run alongside the graded rubric to catch mechanical failures, such as fabricating content from insufficient sources. The full framework, scoring thresholds, and worked examples are published in the GitHub repository so users can independently verify outputs themselves.