Symptom Checker for Openclaw

An intelligent health assessment tool designed to help users evaluate physical symptoms and determine the appropriate level of medical care.

jiwenbing
v1.0.0
Mar 17, 2026
0
954
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install symptom-check

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install symptom-check using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Symptom Checker?

The Symptom Checker is a specialized capability within the Openclaw Skills library designed to assist users in navigating physical discomfort and illness. By leveraging a structured inquiry framework, the skill helps individuals articulate their symptoms more clearly, covering vital aspects such as duration, intensity, and secondary signs. It serves as a preliminary guidance layer, helping users differentiate between minor ailments and situations requiring professional medical intervention.

This skill is engineered to bridge the gap between initial concern and clinical consultation. It prioritizes user safety by providing clear indicators for when to seek immediate emergency care versus when home monitoring might be appropriate. As part of the wider range of Openclaw Skills, it emphasizes data-driven clarity and actionable health insights while maintaining the essential boundary that it does not provide clinical diagnoses.

Symptom Checker Use Cases

  • Evaluating the severity of sudden physical symptoms like fever, pain, or rashes.
  • Determining whether a specific health concern requires an urgent care visit or a routine check-up.
  • Gaining a better understanding of potential common causes for persistent discomfort.
  • Preparing for a doctor's appointment by organizing symptom history and related medical details.

How Symptom Checker Works

  1. The skill triggers when a user describes physical discomfort or asks questions regarding their health status.
  2. It initiates a clarifying dialogue to establish symptom duration, a severity score from 1 to 10, and the specific location of the issue.
  3. The agent requests information regarding associated symptoms and any relevant personal medical history to provide context.
  4. It analyzes the input to provide a list of common potential causes, clearly marked with necessary medical disclaimers.
  5. The process concludes with a specific recommendation on the level of care required and a prompt to consult a licensed healthcare professional.

Symptom Checker Setup

To add this capability to your agent, use the CLI provided by Openclaw Skills:

openclaw install symptom-check

Once installed, the agent will automatically recognize health-related triggers and initiate the symptom assessment workflow.

Symptom Checker Data Schema & Taxonomy

The skill processes and organizes health-related inputs using the following data structure:

Property Description Type
primary_symptom The main health concern reported by the user String
severity_level A numerical ranking of discomfort on a scale of 1-10 Integer
duration_context Timeline of when the symptoms first appeared String
triage_category The recommended urgency level (Emergency, Urgent, Routine, Home) String
history_tags Relevant medical background or associated signs Array

Symptom Checker Advanced Features

  • Context-aware conversational depth for nuanced symptom tracking over time.
  • Emergency priority detection that fast-tracks high-risk symptoms to urgent care guidance.
  • Seamless integration with other Openclaw Skills for personal health logging and productivity.
  • Tailored follow-up questions based on specific anatomical locations or demographic factors.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*