What problem does it solve? Teams adopting an AI-assisted development plugin lack a structured way to verify the plugin itself is configured, governed, and healthy enough for production use, leading to silent misconfigurations in model routing, memory, and governance rails. ## Core Features & Use Cases - Six-domain maturity scoring: Evaluates infrastructure health, model routing, memory health, governance rails, skill quality, and session budget on a 1-5 maturity scale. - Evidence-based assessment: Reads only plugin state files (plugin.json, .claude/, memory/, ledgers) and never touches application source code. - HTML readiness report: Produces a RAG-scored report with executive summary, domain findings, and a remediation roadmap in prod-readiness/. - Use Case: Before rolling the plugin out to a development team, an AI Architect runs the assessment to confirm rules are in sync, security scans are current, and no sessions are hitting context limits. ## Quick Start Ask the assistant to run a plugin production readiness assessment and generate the readiness report.