codebase-health

Git repository intelligence CLI for analyzing contributors, code ownership, hotspots, and codebase risk.

Python static analysis CLI that detects architectural degradation: circular deps, god classes, service-layer bypass, magic values, cyclomatic complexity, and layer violations. Per-PR and 10-commit trend modes; pre-commit hooks and GitHub Actions integration.

A nervous system for a machine full of software. Recognisers identify what a thing is by its shape, declarative rules latch onto it, and eleven kinds of probe read verdicts other tools already produced - accumulating into a decaying field that says where attention is being pulled, before anything pays to find out what.

Measures a repository's development environment and teaches an AI agent to build what is missing, using only what the project already has.

A second pair of eyes for your codebase. Local, deterministic codebase analysis that keeps architecture, complexity and code health under control while AI writes your code.

Quantitative technical debt haircut engine and financial balance sheet for software engineering, PE M&A diligence, and CFO risk modeling.

Self-improving code review skill for AI agents. Learns your codebase over time — analyzes git history, spots churn hotspots, and builds a persistent knowledge base that sharpens every review.

GitHub Action: Automated codebase health scoring for pull requests