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 A (IEC 62304 / MDR) Tier 1 v2.1.0

public-health-epidemiology

Evidence-Based Medicine & Public Health

Intended Clinical Purpose

Computes epidemiological indices, analyzes transmission dynamics, and references WHO infection control protocols.

Prohibited Clinical Uses & Gating Boundary

Issuing unverified public quarantine orders

Mandatory Input Parameters

disease_metrics_or_outbreak_data

Deterministic Dependencies

core.citation_validator
Clinical Review Status: REFERENCE_SEED_REQUIRES_CLINICAL_SIGN_OFF

Claude Code & MCP Configuration

Add to Claude Code via MCP stdio:

$ claude mcp add public-health-epidemiology npx medorqis --skill=public-health-epidemiology

Skills CLI Execution

Dispatch directly to agent workspace:

$ npx skills run seotarek/MedOrqis/public-health-epidemiology
SKILL.md & Manifest Specification YAML Frontmatter
---
name: public-health-epidemiology
description: >-
  Public health, epidemiology, and outbreak investigation skill. Evaluates diagnostic screening metrics (sensitivity, specificity, PPV, NPV) and advises on infection prevention and control (IPC).
allowed-tools: bash
license: Apache-2.0
compatibility: Linux, macOS, Windows (Python 3.10+, MCP stdio, Claude Code, Gemini CLI, OpenAI)
metadata:
  ver...
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