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

oncology-palliative-care

Vulnerable Populations & High-Risk Specialties

Intended Clinical Purpose

Identifies oncologic emergencies requiring immediate hospital admission and provides structured palliative symptom algorithms.

Prohibited Clinical Uses & Gating Boundary

Delaying broad-spectrum antibiotics in suspected neutropenic fever
Calculating cytotoxic chemotherapy doses without oncologist sign-off

Mandatory Input Parameters

cancer_type current_treatment symptoms

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 oncology-palliative-care npx medorqis --skill=oncology-palliative-care

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/oncology-palliative-care
SKILL.md & Manifest Specification YAML Frontmatter
---
name: oncology-palliative-care
description: >-
  Oncology emergencies and palliative symptom management skill. Screens for febrile neutropenia, spinal cord compression, tumor lysis syndrome, and guides opioid titration and breakthrough pain control.
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
metadata:
...
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