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intelligent-triage-symptom-analysis

Intelligent Triage and Symptom Analysis Skill. Supports 650+ symptoms across 11 body systems. Based on ESI and Manchester Triage System with 5-level triage classification. Features NLP-driven symptom extraction, 3000+ disease database, red flag warning mechanism (≥95% accuracy for life-threatening conditions), and machine learning-assisted differential diagnosis.

andyxcg0 来源安装数☆ 0 仓库 Starsv1.0.2

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install andyxcg/intelligent-triage-symptom-analysis

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Intelligent Triage and Symptom Analysis

Version: 1.0.2
Category: Healthcare / Medical
Billing: SkillPay (1 token per call, ~0.001 USDT)

AI-powered medical triage assistance for healthcare providers, telemedicine platforms, and patients. Provides accurate preliminary symptom assessment and urgency recommendations.

Features

  1. Comprehensive Symptom Coverage - 650+ symptoms across 11 body systems
  2. Standardized Triage - 5-level classification (Resuscitation to Non-emergency)
  3. Red Flag Detection - ≥95% accuracy for life-threatening conditions
  4. NLP Analysis - Natural language symptom extraction
  5. Differential Diagnosis - ML-assisted condition ranking
  6. SkillPay Billing - 1 token per analysis (~0.001 USDT)

Quick Start

Analyze symptoms:
from scripts.triage import analyze_symptoms
import os

# Set environment variables
os.environ["SKILL_BILLING_API_KEY"] = "your-api-key"
os.environ["SKILL_ID"] = "your-skill-id"

# Analyze patient symptoms
result = analyze_symptoms(
    symptoms="胸痛,呼吸困难,持续30分钟",
    age=65,
    gender="male",
    vital_signs={"bp": "160/95", "hr": 110, "temp": 37.2},
    user_id="user_123"
)

# Check result
if result["success"]:
    print("分诊等级:", result["triage"]["level"])
    print("紧急程度:", result["triage"]["urgency"])
    print("建议措施:", result["recommendations"])
else:
    print("错误:", result["error"])
    if "paymentUrl" in result:
        print("充值链接:", result["paymentUrl"])
API Usage:
# Set environment variables
export SKILL_BILLING_API_KEY="your-api-key"
export SKILL_ID="your-skill-id"

# Run analysis
python scripts/triage.py \
  --symptoms "胸痛,呼吸困难" \
  --age 65 \
  --gender male \
  --user-id "user_123"

Configuration

  • Provider: skillpay.me
  • Pricing: 1 token per call (~0.001 USDT)
  • Minimum deposit: 8 USDT
  • API Key: SKILL_BILLING_API_KEY environment variable
  • Skill ID: SKILL_ID environment variable...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/andyxcg/intelligent-triage-symptom-analysis
Version
1.0.2
Commit
24a004cede814a27c5bfae1304eaddcb2f1edeb5
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Intelligent Triage and Symptom Analysis

AI-powered medical triage assistance for healthcare providers, telemedicine platforms, and patients. Provides accurate preliminary symptom assessment and urgency recommendations.

Features

  • Comprehensive Symptom Coverage - 650+ symptoms across 11 body systems
  • Standardized Triage - 5-level classification (Resuscitation to Non-emergency)
  • Red Flag Detection - ≥95% accuracy for life-threatening conditions
  • NLP Analysis - Natural language symptom extraction
  • Differential Diagnosis - ML-assisted condition ranking
  • SkillPay Billing - 1 token per analysis (~0.001 USDT)

Installation

  1. Clone or download this skill to your OpenClaw workspace:
cd /home/node/.openclaw/workspace/skills/
  1. Install Python dependencies (if any additional packages are needed):
pip install -r requirements.txt  # if requirements.txt exists
  1. Copy the environment variables file and configure:
cp .env.example .env
# Edit .env with your actual API keys

Environment Variables Configuration

Copy .env.example to .env and configure the following variables:

Required Variables
Variable Description Required
SKILL_BILLING_API_KEY Your SkillPay API key for billing Yes
SKILL_ID Your Skill ID from SkillPay dashboard Yes
Optional Variables
Variable Description Default
OPENAI_API_KEY OpenAI API key for enhanced NLP -
ANTHROPIC_API_KEY Anthropic API key for enhanced NLP -
ICD11_API_KEY ICD-11 API key for disease codes -
SNOMED_API_KEY SNOMED CT API key for medical terms -
PHI_ENCRYPTION_KEY Encryption key for PHI protection -
DATA_RETENTION_DAYS Days to retain analysis data 30
AUDIT_LOGGING_ENABLED Enable audit logging true
RED_FLAG_ALERTS_ENABLED Enable red flag alerts true

Usage Exam...

来源内容

SKILL.md
# Intelligent Triage and Symptom Analysis

> **Version**: 1.0.2  
> **Category**: Healthcare / Medical  
> **Billing**: SkillPay (1 token per call, ~0.001 USDT)

AI-powered medical triage assistance for healthcare providers, telemedicine platforms, and patients. Provides accurate preliminary symptom assessment and urgency recommendations.

## Features

1. **Comprehensive Symptom Coverage** - 650+ symptoms across 11 body systems
2. **Standardized Triage** - 5-level classification (Resuscitation to Non-emergency)
3. **Red Flag Detection** - ≥95% accuracy for life-threatening conditions
4. **NLP Analysis** - Natural language symptom extraction
5. **Differential Diagnosis** - ML-assisted condition ranking
6. **SkillPay Billing** - 1 token per analysis (~0.001 USDT)

## Quick Start

### Analyze symptoms:

```python
from scripts.triage import analyze_symptoms
import os

# Set environment variables
os.environ["SKILL_BILLING_API_KEY"] = "your-api-key"
os.environ["SKILL_ID"] = "your-skill-id"

# Analyze patient symptoms
result = analyze_symptoms(
    symptoms="胸痛,呼吸困难,持续30分钟",
    age=65,
    gender="male",
    vital_signs={"bp": "160/95", "hr": 110, "temp": 37.2},
    user_id="user_123"
)

# Check result
if result["success"]:
    print("分诊等级:", result["triage"]["level"])
    print("紧急程度:", result["triage"]["urgency"])
    print("建议措施:", result["recommendations"])
else:
    print("错误:", result["error"])
    if "paymentUrl" in result:
        print("充值链接:", result["paymentUrl"])
```

### API Usage:

```bash
# Set environment variables
export SKILL_BILLING_API_KEY="your-api-key"
export SKILL_ID="your-skill-id"

# Run analysis
python scripts/triage.py \
  --symptoms "胸痛,呼吸困难" \
  --age 65 \
  --gender male \
  --user-id "user_123"
```

## Configuration

- Provider: skillpay.me
- Pricing: 1 token per call (~0.001 USDT)
- Minimum deposit: 8 USDT
- API Key: `SKILL_BILLING_API_KEY` environment variable
- Skill ID: `SKILL_ID` environment variable...
README
# Intelligent Triage and Symptom Analysis

AI-powered medical triage assistance for healthcare providers, telemedicine platforms, and patients. Provides accurate preliminary symptom assessment and urgency recommendations.

## Features

- **Comprehensive Symptom Coverage** - 650+ symptoms across 11 body systems
- **Standardized Triage** - 5-level classification (Resuscitation to Non-emergency)
- **Red Flag Detection** - ≥95% accuracy for life-threatening conditions
- **NLP Analysis** - Natural language symptom extraction
- **Differential Diagnosis** - ML-assisted condition ranking
- **SkillPay Billing** - 1 token per analysis (~0.001 USDT)

## Installation

1. Clone or download this skill to your OpenClaw workspace:
```bash
cd /home/node/.openclaw/workspace/skills/
```

2. Install Python dependencies (if any additional packages are needed):
```bash
pip install -r requirements.txt  # if requirements.txt exists
```

3. Copy the environment variables file and configure:
```bash
cp .env.example .env
# Edit .env with your actual API keys
```

## Environment Variables Configuration

Copy `.env.example` to `.env` and configure the following variables:

### Required Variables

| Variable | Description | Required |
|----------|-------------|----------|
| `SKILL_BILLING_API_KEY` | Your SkillPay API key for billing | Yes |
| `SKILL_ID` | Your Skill ID from SkillPay dashboard | Yes |

### Optional Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `OPENAI_API_KEY` | OpenAI API key for enhanced NLP | - |
| `ANTHROPIC_API_KEY` | Anthropic API key for enhanced NLP | - |
| `ICD11_API_KEY` | ICD-11 API key for disease codes | - |
| `SNOMED_API_KEY` | SNOMED CT API key for medical terms | - |
| `PHI_ENCRYPTION_KEY` | Encryption key for PHI protection | - |
| `DATA_RETENTION_DAYS` | Days to retain analysis data | 30 |
| `AUDIT_LOGGING_ENABLED` | Enable audit logging | true |
| `RED_FLAG_ALERTS_ENABLED` | Enable red flag alerts | true |

## Usage Exam...

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