What problem does it solve? Developers using context engineering lack visibility into whether lazy-loading documentation actually saves tokens and keeps sessions healthy, making optimization efforts unmeasurable. ## Core Features & Use Cases - Efficiency Reporting: Runs session-stats.sh to compute baseline vs loaded tokens, savings percentage, cache efficiency, and context usage. - Scoring & Formatting: Calculates a 0-100 efficiency score via efficiency_scorer.py and renders a shareable ASCII report via report_formatter.py. - Actionable Recommendations: Surfaces targeted advice when token savings drop below 70%, cache efficiency falls under 80%, or context usage exceeds 80%. - Use Case: After a long coding session, ask for your stats to see that you saved 138k tokens (92%) with a 94/100 efficiency score, then screenshot the report to share. ## Quick Start Ask the assistant to show your Navigator session stats and efficiency report.