What problem does it solve? Running a whole-codebase audit means coordinating many individual scanners in the right order, keeping their shared parameters consistent, validating each result, and merging everything into one report — doing this by hand is error-prone and slow. ## Core Features & Use Cases - Bundle Selection: Runs a basic scan (six descriptive scanners), a deep dive (all evaluative scanners or one family: quality, runtime, security), or a full scan of all seventeen, choosing a sensible default when the user is ambiguous. - Dependency-Ordered Execution: Runs scanners in waves so later scanners consume earlier findings, with parallel execution within a wave and graceful degradation when a predecessor is missing. - Merge, Render, and Diff: Validates each scanner's findings, merges them into combined-report.json, renders the AI Insights Explorer, and diffs against saved baselines on re-runs to surface what changed. - Use Case: Point it at an unfamiliar repository with a finished _sokrates analysis and ask for a full scan to get a baseline audit covering tech stack, functionality, architecture, security, testing, and more, with an interactive HTML explorer as the artifact of record. ## Quick Start Run a full scan of this repository using the existing _sokrates analysis and show me the combined report.
