med-chronic-disease-review

门诊慢病审核（糖尿病/高血压）。输入 OCR 结果数组 JSON，输出审核结论与原因（原始 JSON + 自然语言结论）。

Do not use this skill with real patient data until you confirm how it handles PHI. The README claims strict de-identification and no local storage, but the code: (1) sends the provided 'ocr_data' directly to an external endpoint by default (no auth required), and (2) saves raw response JSON and a text summary to ../runs/med-chronic-disease-review unless you override outputs. Recommended actions before installing or running on sensitive data: 1) Inspect or modify the code to implement and verify proper de-identification/redaction of PHI (names, IDs, phone numbers, addresses, images) before any network transmission. 2) Verify the remote service (shangbao.yunzhisheng.cn): who operates it, what they do with submitted data, and whether an authenticated, audited endpoint is available. 3) If you require no local persistence, change or remove the default output paths and avoid --save-prepared; run in a controlled sandbox. 4) Consider routing the skill to an internal/approved endpoint or requiring an API key and TLS pinning. 5) Test with synthetic data first to confirm behavior. If you cannot verify the endpoint and implement safe redaction, treat the skill as too risky for real PHI.

Type: OpenClaw Skill Name: med-chronic-disease-review Version: 1.0.1 The skill bundle is designed to perform medical chronic disease reviews by processing various document formats (PDF, DOCX, images, etc.) and sending the extracted text to a specialized API (shangbao.yunzhisheng.cn). The Python scripts (chronic_disease_review.py, run.py) use standard libraries and external tools like Tesseract and LibreOffice for OCR and document conversion, with no evidence of malicious intent or unauthorized data exfiltration beyond the stated purpose.