Doc Drift Detector is a specialized automated auditor designed to ensure your READMEs and Markdown documentation stay in sync with your actual codebase. It scans your project to identify “ghost” references—functions, CLI flags, environment variables, and scripts that are mentioned in your docs but have been deleted or renamed in your source code. Manual documentation reviews are error-prone and often skipped during fast-paced development. This skill automates the tedium of cross-referencing string literals in docs against code definitions. Unlike a generic AI prompt, it utilizes a structured scanning workflow that targets specific high-risk areas like package.json, Makefiles, and framework-specific env configurations, providing severity ratings and remediation steps for every discrepancy found.