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 B (IEC 62304 / MDR) Tier 2 v2.1.0

nursing-clinical-care

Chronic Disease, Inpatient Care & Rehabilitation

Intended Clinical Purpose

Supports bedside nursing assessments, vital sign trend tracking, and escalation protocols for deteriorating patients.

Prohibited Clinical Uses & Gating Boundary

Discontinuing nursing vital checks in high-risk patients

Mandatory Input Parameters

vital_signs mental_status

Deterministic Dependencies

core.clinical_calculators 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 nursing-clinical-care npx medorqis --skill=nursing-clinical-care

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/nursing-clinical-care
SKILL.md & Manifest Specification YAML Frontmatter
---
name: nursing-clinical-care
description: >-
  Inpatient nursing and bedside clinical care skill. Computes NEWS2 early warning scores, monitors pressure injury risks (Braden Scale), and formulates patient care plans.
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
metadata:
  version: "2.1.0"
  tier: "Tier 2...
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