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

pediatrics-neonatology

Vulnerable Populations & High-Risk Specialties

Intended Clinical Purpose

Provides pediatric dosing calculations, APGAR assessments, dehydration triage, and fever management in infants.

Prohibited Clinical Uses & Gating Boundary

Dosing pediatric medication without verified weight in kilograms

Mandatory Input Parameters

age_years weight_kg

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 pediatrics-neonatology npx medorqis --skill=pediatrics-neonatology

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/pediatrics-neonatology
SKILL.md & Manifest Specification YAML Frontmatter
---
name: pediatrics-neonatology
description: >-
  Pediatric and neonatal clinical safety skill. Enforces strict weight-based dose caps (never exceeding maximum adult doses), flags age-weight entry discrepancies (lb vs kg), and screens for neonatal red flags.
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
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