Audit the thesis for data consistency — numbers, percentages, terminology, cross-references between chapters. Use before submission.
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.
This skill activates on: audit, consistency check, check numbers, /audit.
Scan all chapter files in the chapters/ directory using Glob. Read each file to extract quantitative claims, terminology, and cross-references.
Check the following categories:
A. Numerical consistency
B. Terminological consistency
C. Cross-reference validity
D. Citation consistency
Output the audit report using the format below.
## Audit Report -- {YYYY-MM-DD}
### Summary
- **Critical**: {N} issues (contradictory data)
- **High**: {N} issues (broken references, missing definitions)
- **Medium**: {N} issues (terminology inconsistency, minor arithmetic)
### Issues
| # | Severity | Category | Location | Issue | Current | Expected |
|---|----------|----------|----------|-------|---------|----------|
| 1 | Critical | Numerical | Ch3 s3.2, Ch5 s5.4 | PUR value differs | 22.5% (Ch3) vs 23.1% (Ch5) | Should be consistent |
| 2 | High | Cross-ref | Ch4 s4.1 | Ref to "Section 3.7" | Section 3.7 | Section does not exist |
### Recommendations
{Grouped by severity, brief notes on how to resolve each issue.}