audit

# /audit — Thesis Consistency Audit Skill ## Purpose Scan all thesis chapters for internal data consistency issues: contradictory numbers, inconsistent terminology, broken cross-references, and arithmetic errors. This is a pre-submission quality check. ## Trigger Words This skill activates on: `audit`, `consistency check`, `check numbers`, `/audit`. ## Workflow 1. **Scan all chapter files** in the `chapters/` directory using Glob. Read each file to extract quantitative claims, terminology, and cross-references. 2. **Check the following categories:** **A. Numerical consistency** - The same statistic (e.g., accuracy, sample size, p-value) cited in multiple chapters must have the same value. - Percentages in a distribution must sum to 100% (with tolerance of +/-1% for rounding). - Counts (e.g., "42 models") must match between chapters. **B. Terminological consistency** - The same concept must use the same term throughout. Flag cases where synonyms are used inconsistently (e.g., "structured review" vs "systematic review" for the same concept). - Abbreviations must be defined on first use in each chapter. **C. Cross-reference validity** - References to other sections (e.g., "as discussed in Section 3.2") must point to sections that exist. - References to tables and figures must match actual table/figure numbers. - Forward references ("Chapter 6 will show...") must be fulfilled. **D. Citation checks — disabled in this release (disclose...