Building MedOrqis: An Open-Source Medical AI Skills Ecosystem for Safe Clinical Agents

This is a submission for the MLH x DEV Writing Challenge

MedOrqis is an open-source, evidence-grounded, cross-platform ecosystem of 24 specialized clinical AI skills, 12 deterministic zero-token clinical calculators & safety engines, and multi-platform adapters (Skills CLI, Claude Code, Gemini CLI, Model Context Protocol, and OpenAI).

🌐 Interactive Web Hub & Live Zero-Token Calculators: Explore the live searchable 24-skill catalog, test interactive clinical calculators (ESC 2024 CHA₂DS₂-VA, CKD-EPI 2021, Bedside Schwartz, HAS-BLED, NEWS2, DDI Checker), and inspect dialect benchmarks directly in your browser at https://seotarek.github.io/MedOrqis/.

⚡ Fleet Install in 1-Second (Claude Code, Cursor, Codex, Antigravity, OpenCode):

npx skills add seotarek/MedOrqis Enter fullscreen mode Exit fullscreen mode Built with an evidence-first, patient-safety-first architecture, MedOrqis eliminates medical hallucination risks in high-stakes clinical calculations by executing arithmetic, unit conversions, PHI scrubbing, negation parsing, and drug interaction screenings through a local, deterministic Python core with zero LLM API token overhead.