By Larens94
Enforce structured in-source CodeDNA annotations across Python, TypeScript, JavaScript, Go, Rust, and Java for AI agent context and inter-agent communication. Enables dependency tracking, impact analysis, and compliance verification with automated hooks.
CodeDNA coverage report — find unannotated files and stale used_by references
CodeDNA impact analysis — show the full dependency chain for a file before editing or refactoring
Annotate all unannotated source files in the project with CodeDNA module headers. Uses your current Claude session — no API key required.
CodeDNA architectural map — read all module docstrings and return the full project dependency graph in one pass
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub larens94/codedna --plugin codednaPersonal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.
AI context engineering — analyze your codebase and let this agent deep-enhance every rule, then compile CLAUDE.md / AGENTS.md / .cursor-rules / copilot-instructions. Commands: /auk:run, /auk:enhance.
Check how well your repo supports AI coding agents.
Analyze and enforce best practices for AI coding agent projects. Assess codebase readiness across 8 pillars with /readiness, then scaffold enforcement with /setup: TDD, secret scanning, file size limits, auto-generated docs, and git hooks.
Make a codebase agent-ready by scaffolding AGENTS.md, ARCHITECTURE.md, and docs/ structure following progressive disclosure patterns. Creates CLAUDE.md as a symlink for Claude Code compatibility.
Set up and maintain your repo's AI context — AGENTS.md, memory, vocabulary, ADRs — and run reviews that leave recorded verdicts. One shared workspace for Claude Code, Cursor, and Codex.