dead-code

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/

AI skills that keep your code honest, your secrets unleaked, and your repo from rotting. Built for people who ship real things with AI. Type /vibesubin and let your assistant do the boring discipline for you.

Python project manager inspired in Cargo.

Deterministic Structural Change Controller for AI-assisted Python development

Understand your Python codebase. 📡 Summarizes your directory in a single table. Displays the file structure of all the files, their functions, classes, and methods in a nicely colored tree. Shows a table of all the files with counts of the lines and much more.

The garbage collector for your codebase

Find and remove dead code in React, Next.js, and Python projects

Primer for blast radius analysis and differential testing of dead code detectors and static analysis tools across pinned real-world projects

猫砂 CatLitter: auto-adapt your project and scoop redundant/dead code into a restorable garbage bag (zero-dep Python CLI)

Candidate dead code benchmark dataset with manually audited labels on pinned open-source repositories.

A Claude Skill that compresses bloated codebases into fewer lines without changing behavior: finds duplicate blocks, ranks the worst functions, and proves every change with its own measurement tools.

Static analyzer that turns a Python package's source into a queryable code graph (API surface, dependencies/architecture, impact, change-review, RAG).

Detect duplicate & unused code (py, C, Rust, js/ts) via AST hashing, Jaccard sim, and semantic embeddings (ModernBERT, EmbeddingGemma). w hybrid synthesis

Vendor-neutral project discovery, feature delivery, and quality retrofit. Scan and enhance canonical code, prove tests with red drills, and resume from current evidence. First-party Python delivery helpers; native PowerShell and Bash.

Structural understanding of a codebase, computed in seconds — for whoever has to change it without having read it. One directory, one .toml, no dependencies.

Evidence-backed garbage collection, architecture guidance, and Python house-style drift analysis for AI-edited repositories.

An opinionated project-quality analyser for Python. Walks projects, scores findings across 11 quality pillars, and emits reports for terminals, CI, SARIF, HTML, and a local dashboard.

Deterministic Python codebase intelligence for AI agents before they claim done.

Ghost Dependency Finder - Detect ghost deps (used but not declared) and zombie deps (declared but not used)