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.

!License

!Python

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

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