🚀 Agentic Agile V Scaffold - Production-ready template for verifiable AI-augmented engineering. Structured briefs, evidence bundles, CI gates, and automated traceability. Build trustworthy software/hardware with AI agents following the Agile V™ framework.

A Python stdlib-only scaffold that turns AI-assisted development into verified engineering: structured task briefs, evidence bundles, risk levels L0–L4, and active quality gates (interface contracts, test quality, time allocation). Conversation discovers intent; artifacts control implementation; evidence controls acceptance.

A zero-dependency Node.js HTTPS-to-HTTP proxy that lets browser-based AI tools (Agile V Studio, Framewrk Studio) talk to local LLM backends like Ollama without mixed-content errors. Includes self-signed TLS, CORS, token tracking dashboard, Docker support, and OpenAI/Anthropic-compatible passthrough.

Official Agent Skills for the Agile V™ open standard (CC BY-SA 4.0). Twenty-four role-based skills for Cursor, Claude Code, VS Code, and Copilot — requirements, build, test designer, Red Team verification, compliance, and human gates. Implements the Infinity Loop for traceable, auditable AI-augmented engineering.