Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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Updated
Jun 30, 2026 - Python
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
Zero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.
9 quality-canary skills for AI coding agents - code health, gold-standard rules, anti-hallucination grounding, supply chain, resilience, observability, testability, scaling, contract drift. Consent-gated, token-lean, one-button install, works across all major AI coding agents.
Logic-first AI code review via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). Catches behavioral bugs, type-contract breaches & async hazards that linters miss. Six skills · Claude Code · Codex CLI · Gemini CLI.
Calculate a health score for any Git repository. Analyzes complexity, docs, tests, deps, and collaboration.
Claude Code skills that catch AI slop, technical debt & architecture drift before they reach production — plan, rules, audit, fix, docs.
Visualize your Python codebase health and architecture as an auto-updating SVG in your README.
An electric pet. Take care of your TOMO and your codebases at the same time.
The open code health benchmark — paste any github.com URL, or just replace github.com with stackhealth.dev. Scores security, quality, hygiene & community via a fully open formula. Free forever.
Codebase Health Audit Prompt
Your private developer-efficiency report from git history — 11 dimensions (DORA / SPACE / CodeScene), local & read-only, narrated by an LLM.
🩺 Application Checkup — a portable, tool-agnostic scanner for codebase health, quality, security & hygiene. Runs anywhere (incl. Docker), degrades gracefully, emits a normalised report.
ML-powered code intelligence platform that visualizes repositories as a 3D city with risk and anomaly scoring.
零安裝 AI 專案健檢工具箱 | Zero-install AI health checker. Clone → prompt any AI agent → auto-scan, SWOT analysis, action roadmap.
A cute 3D animated desktop widget (built with Electron + Three.js) that floats on your screen and reacts to the health (syntax errors, complexity, and commit history) of your local codebase in real-time! 🤖💻
Interactive codebase health audit. 8 dimensions: Architecture, Security, Performance, Maintainability, Testing, Docs, Dependencies, Quality. Zero dependencies.
(WIP) Lightweight, self-hosted C# code-health monitor (ML-trained trend detector).
Local-first Git repository analytics desktop app for code health, contributors, and team activity.
Add a description, image, and links to the code-health topic page so that developers can more easily learn about it.
To associate your repository with the code-health topic, visit your repo's landing page and select "manage topics."