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WiseDiag-Report

作者 wisediag · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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当前安装
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在 OpenClaw 中安装
/install wisediag-report
功能描述
Medical Report Interpretation — Interpret medical report images (via local file binary upload or image URL) with AI-powered OCR recognition, abnormal indicat...
使用说明 (SKILL.md)

When to Use This Skill

Activate this skill when any of the following conditions are met:

  • The user provides local image/PDF files of a medical report and asks to interpret them
  • The user sends an image URL of a medical report and asks to interpret it
  • The user says things like "help me interpret this report", "look at my blood test", "what do these results mean", or similar requests (in any language)

Note: This skill supports both local file uploads (binary stream) and image URLs. The most common usage scenario is uploading local files via binary stream (--file), as users typically have report images/PDFs saved on their device rather than hosted at a public URL.

How to choose (mutually exclusive — pick one):

  • If the user provides a local file path (e.g. /home/user/report.jpg, C:\Users\...\scan.png) → use --file (binary upload). This is the primary and most common usage.
  • If the user provides a URL (starts with http:// or https://) → use --image
  • Do NOT use --file and --image together in one command

⚠️ Privacy Notice

Please read before installing:

This tool transmits your medical report files to WiseDiag cloud servers (via direct binary upload or image URL) 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 qualified healthcare professional for any health concerns.


WiseDiag Medical Report Interpretation (OpenClaw Skill)

Upload photos of physical medical reports (blood tests, urine tests, imaging reports, etc.) and let WiseDiag AI automatically recognize the text, parse key indicators, highlight abnormal values, and provide health advice.

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.

There are two ways to interpret a report — pick one (mutually exclusive):


Option A: Upload local files (recommended) — when user provides local file paths

cd scripts

# Single report image
python3 report.py -f "/path/to/report.jpg"

# Multiple images (e.g. multi-page report, max 5)
python3 report.py -f "/path/to/page1.jpg" -f "/path/to/page2.jpg"

# Ask a specific question
python3 report.py -f "/path/to/report.jpg" --question "请解读报告中的异常指标"

# Specify output filename
python3 report.py -f "/path/to/report.jpg" -n "bloodtest_20260324"

Option B: Submit via image URL — when user provides a public HTTP/HTTPS link

cd scripts

# Single image URL
python3 report.py --image "https://example.com/report.jpg"

# Multiple images
python3 report.py --image "https://example.com/p1.jpg" --image "https://example.com/p2.jpg"

# Ask a specific question
python3 report.py --image "https://example.com/report.jpg" --question "请解读报告中的异常指标"

How to choose (mutually exclusive — pick one):

  • User gives a local file path (e.g. /home/user/report.jpg, C:\Users\...\scan.png) → use -f
  • User gives a URL (starts with http:// or https://) → use --image
  • Do NOT use -f and --image together in one command

Results are automatically saved to the current working directory as {name}.md — no manual saving needed.

Parameters

Parameter Description
-f, --file Local file path to upload as binary stream — image or PDF, repeatable up to 5 times (mutually exclusive with --image)
--image Public URL of the report image, repeatable up to 5 times (mutually exclusive with --file)
--question Question to ask (default: interpret abnormal indicators and provide advice)
-n, --name Output filename (without extension)
-o, --output Output directory (default: current working directory)

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, or PNG 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.
  • URL mode (--image): Image URLs are transmitted to WiseDiag cloud servers; their server downloads and processes them.

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. Always consult a qualified healthcare professional for medical decisions.

License

MIT

能力标签
requires-sensitive-credentials
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wisediag-report
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wisediag-report 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
WiseDiag Report Skill 1.0.0 – Initial Release - Interpret medical report images and PDFs via local file upload or image URL - Uses AI-powered OCR to recognize text, detect abnormal indicators, and provide health advice - Supports binary (local file) uploads and image URLs (mutually exclusive per request) - Requires a WISEDIAG_API_KEY environment variable for authentication - Provides privacy notice and strong disclaimer: data sent to WiseDiag servers and not a substitute for medical advice
元数据
Slug wisediag-report
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

WiseDiag-Report 是什么?

Medical Report Interpretation — Interpret medical report images (via local file binary upload or image URL) with AI-powered OCR recognition, abnormal indicat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。

如何安装 WiseDiag-Report?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wisediag-report」即可一键安装,无需额外配置。

WiseDiag-Report 是免费的吗?

是的,WiseDiag-Report 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

WiseDiag-Report 支持哪些平台?

WiseDiag-Report 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 WiseDiag-Report?

由 wisediag(@wisediag)开发并维护,当前版本 v1.0.0。

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