微信扫一扫When to Use This Skill
Activate this skill when any of the following conditions are met:
- The user provides a local image file of a skin condition and asks to analyze it
- The user says things like "analyze this skin photo", "what is this rash", "check this mole", or similar requests (in any language)
Note: This skill uses local file upload (binary stream). The user should provide a local file path (e.g. /home/user/skin.jpg, C:\Users\...\rash.png) and the script uploads it via binary stream (-f).
⚠️ Privacy Notice
Please read before installing:
This tool transmits your skin image files to WiseDiag cloud servers (via direct binary upload) for AI analysis.
Do not upload images containing sensitive or private content unless:
- You trust WiseDiag's data handling policy
- You accept that the file content will be transmitted to and processed remotely
The output of this tool is for reference only and does not constitute medical diagnosis. Please consult a doctor for any health concerns.
WiseDiag Skin Disease Analysis (OpenClaw Skill)
Upload a skin photo and let WiseDiag AI automatically identify possible skin conditions and provide analysis and recommendations.
Features
- Local file binary upload: upload skin images directly via multipart/form-data
- AI-powered skin condition identification from photos
- Streaming output — results appear in real time
- Results automatically saved as a Markdown file
Installation
pip install -r requirements.txt
🔑 API Key Configuration (Required)
Get your API Key: 👉 https://console.wisediag.com/apiKeyManage
The API key MUST be set as an environment variable. The script reads it automatically.
export WISEDIAG_API_KEY=your_api_key
Usage (Step-by-Step)
Do not call any API or HTTP endpoints directly — use only the script below.
⚠️ IMPORTANT: The script makes HTTP requests to an external API and may take 30-120 seconds to complete (especially for large images). Do NOT kill or interrupt a running command — wait for it to finish. The script prints streaming output so you can see it is working.
cd scripts
# Basic usage: upload a local skin image
python3 skin.py -f "/path/to/skin.jpg"
# Ask a specific question
python3 skin.py -f "/path/to/skin.jpg" --question "这个皮疹是什么原因？"
# Specify output filename
python3 skin.py -f "/path/to/skin.jpg" -n "skin_20260324"
Results are automatically saved to ~/.openclaw/workspace/WiseDiag-Skin/{name}.md — no manual saving needed.
Parameters
| Parameter | Description |
|-----------|-------------|
| -f, --file | Local file path to upload as binary stream — image file (required) |
| --question | Question to ask (default: analyze skin and identify possible conditions) |
| -n, --name | Output filename (without extension) |
| -o, --output | Output directory (default: ~/.openclaw/workspace/WiseDiag-Skin) |
FAQ
"WISEDIAG_API_KEY is not set" error:
Verify the environment variable is set correctly by running echo $WISEDIAG_API_KEY.
"Authentication failed" error: Your API Key may be invalid or expired. Visit console.wisediag.com to check or regenerate it.
"File not found" error:
The local file path provided via -f does not exist. Check the path and try again.
Image not recognized: Ensure the image is in JPG, JPEG, PNG, WebP, GIF, BMP, or TIFF format. Photos should be clear and well-lit for best results.
Data Privacy
- File upload mode (
-f): Local files are uploaded as binary streams via multipart/form-data to WiseDiag's server for processing.
Image content is not permanently stored. Results are returned directly to you.
⚠️ Disclaimer
The output of this tool is for reference only and does not constitute medical diagnosis or treatment advice. Please consult a qualified healthcare professional for any health concerns.
License
MIT