code-scorecard

What problem does it solve?

Audits a codebase across nine quality dimensions and produces a clear, actionable scorecard with deterministic evidence when available, reducing guesswork in code reviews, security assessments, and due-diligence.

Core Features & Use Cases

• Nine-dimension scoring: Provides scores across architecture, code quality, testing, security, error handling, documentation, dependency management, performance, and maintainability.
• Deterministic evidence-first approach: Uses CodeMetrics.AI outputs as authoritative evidence for deterministic dimensions and falls back to qualitative assessment guided by defined anchors when evidence is missing.
• Use Case: pre-release health checks, security audits, vendor due-diligence, and ongoing health monitoring of long-lived codebases.

Quick Start

Run the scorecard against your repository entry point (such as a solution file or root package.json) to generate per-dimension scores and a JSON evidence file.