AI Slop Detection

AI slop is identified by patterns of usage rather than individual words. While a single "delve" might be acceptable, its proximity to markers like "tapestry" or "embark" signals generated text. We analyze the density of these markers per 100 words, their clustering, and whether the overall tone fits the document type.

Execution Workflow

Start by identifying target files and classifying them as technical docs, narrative prose, or code comments. This allows for context-aware scoring during analysis.

Language Detection

• Auto-detect language from text content using function word frequency
• Override with explicit --lang parameter (en, de, fr, es)
• Load language-specific patterns from data/languages/{lang}.yaml
• Fall back to English if detection confidence is low
• See modules/language-support.md for details on cultural calibration

Vocabulary and Phrase Detection

Load: @modules/vocabulary-patterns.md