What problem does it solve? Reviewing an entire codebase from a single perspective misses whole classes of problems, and ad-hoc reviews produce findings without evidence or priority. This Skill audits a repository across independent dimensions in parallel and consolidates the results into severity-ranked findings with exact file:line references. ## Core Features & Use Cases - Multi-Dimension Parallel Audit: Splits the review into independent perspectives (correctness, security, design consistency, tests, documentation drift, dependencies) and investigates each separately, in parallel when sub-agents are available. - Evidence-Backed Findings: Every finding carries a file:line location, a severity level (high/medium/low), and a clear separation between confirmed issues and unverified suspicions. - Read-Only and Scope-Honest Reporting: Never modifies code during the audit, deduplicates overlapping findings, optionally double-checks high-severity items, and explicitly states what was and was not examined. - Use Case: When asked to "take stock of this repository", the Skill fans out six audit dimensions, aggregates the results, verifies the two high-severity security findings, and reports a summary plus findings ordered by severity with scope limits disclosed. ## Quick Start Ask the AI to audit this repository across multiple dimensions and report severity-ranked findings with file and line references.