MedOrqis: Zero-Token Deterministic Medical AI Skills • Evidence-Grounded Decision Support
Home Playground Skills Library Model Comparison Documentation
24 Skills Zero-Token Core 100% Verified
Class C (IEC 62304 / MDR) Tier 3 v2.1.0

obstetrics-gynecology

Vulnerable Populations & High-Risk Specialties

Intended Clinical Purpose

Identifies acute maternal red flags, calculates gestational age, and checks Briggs Drugs in Pregnancy and Lactation safety.

Prohibited Clinical Uses & Gating Boundary

Prescribing Category X or known teratogenic drugs (ACEi, ARBs, isotretinoin, methotrexate) in pregnancy

Mandatory Input Parameters

pregnancy_status gestational_age_weeks

Deterministic Dependencies

core.clinical_calculators core.context_validator core.safety_guardrails
Clinical Review Status: REFERENCE_SEED_REQUIRES_CLINICAL_SIGN_OFF

Claude Code & MCP Configuration

Add to Claude Code via MCP stdio:

$ claude mcp add obstetrics-gynecology npx medorqis --skill=obstetrics-gynecology

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/obstetrics-gynecology
SKILL.md & Manifest Specification YAML Frontmatter
---
name: obstetrics-gynecology
description: >-
  Obstetrics, gynecology, and maternal-fetal safety skill. Screens for pre-eclampsia/eclampsia, ectopic pregnancy, postpartum hemorrhage, and verifies medication safety in pregnancy and lactation.
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
metadata:
  version...
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