By laurigates
Collect structured JSON attributes on codebase health across documentation, testing, security, code quality, and CI/CD, then route to specialized agents for automated remediation prioritized by severity.
Collect codebase health attributes as structured JSON. Use when you need a structured assessment of project health before routing to specialized agents.
Compact text-based health dashboard showing scores, findings, and severity breakdown. Use for at-a-glance codebase health visibility.
Route to specialized agents based on codebase health attributes. Use after /attributes:collect to automatically address findings by severity.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Git workflows - commits, branches, PRs, issue processing, auto-close detection, and repository management
Claude Code hooks for enforcing best practices and workflow automation
General utilities - fd, rg, jq, yq, nushell, shell, imagemagick, mermaid, d2
ComfyUI custom-node pack lifecycle - scaffold a pack, create + seed the repo, open the gitops adoption PR, publish to the Comfy Registry, and add README screenshots
Project infrastructure standards - comprehensive project configuration for pre-commit, CI/CD, Docker, testing, linting, formatting, and more
npx claudepluginhub laurigates/claude-plugins --plugin codebase-attributes-pluginAnalyze local repos for code health, complexity, test coverage gaps - multi-dimensional health analysis combining complexity + churn + coverage
Curator - Ancient guardian of code excellence. Orchestrates 5 quality gates (Static Analysis, Test Coverage, Security Scanning, Complexity Analysis, Dependency Health) in a unified flow. Ensures pristine code through Forerunner precision and automated enforcement.
Live codebase visualization and structural quality gate — 14 health dimensions graded A-F, dependency analysis, and architecture governance via MCP
Task-focused agents for test, review, debug, docs, CI, security, refactoring, research, performance, and search-replace — with teammate and subagent role guidance
CodeScene Code Health analysis — review, refactor, and safeguard code quality with AI-friendly tools.
Deterministic harness-maturity audit for your repository: measures AGENTS.md, rules, skills, hooks, sensors, CI, and hygiene against a 5-level maturity model — without any LLM calls — and teaches the agent how to fix every gap.