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AI医学报告解读助手
by
zlszhonglongshen
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install ai-pr-medical-report
Description
AI 医学报告解读助手 — 上传检验报告 PDF，AI 自动解读关键指标，查询最新医学文献，生成结构化健康解读报告并支持一键发布。
README (SKILL.md)
AI-PR-医学报告解读助手
功能概述
上传检验报告（血液、尿液、影像等），AI 自动识别关键指标，对比医学参考范围，查询最新医学文献，生成通俗易懂的结构化健康解读报告。
适用场景
- 拿到体检报告看不懂指标含义
- 需要了解指标异常的可能原因和最新治疗方案
- 希望生成可视化健康报告分享给家人
工作流程
[上传 PDF 检验报告]
↓
[nano-pdf 提取报告文本]
↓
[AI 分析关键指标 + 标注异常项]
↓
[brave-search 查询最新医学文献]
↓
[AI 生成结构化健康解读报告]
↓
[card-renderer 生成可视化知识卡片]
↓
[可选：公众号助手/小红书内容发布]
使用方法
第一步：上传报告并解读
用户提供检验报告 PDF，助手自动：
- 使用 nano-pdf 提取报告文本内容
- 识别检验项目、指标数值、单位、参考范围
- 标注异常项目（↑升高/↓降低）
- 生成通俗易懂的结构化报告
第二步：查询医学文献（如需要）
使用 brave-search 查询：
- 某指标异常的医学解释
- 最新临床指南
- 治疗/调理建议
第三步：生成可视化输出
- 使用 card-renderer 生成健康知识卡片
- 可选发布到公众号/小红书
输出示例
【血常规报告解读】
✅ 正常指标：血红蛋白、血小板计数、白细胞计数
⚠️ 异常指标：
• 甘油三酯 2.8 mmol/L ↑（参考值 \x3C1.7）
→ 可能提示代谢综合征风险，建议低脂饮食
• 幽门螺杆菌抗体 阳性 (+)
→ 建议消化科门诊随访，幽门螺杆菌感染与胃炎、胃溃疡相关
📚 最新医学文献：
• 2024年《中国血脂管理指南》：甘油三酯>2.3需干预
• 研究显示幽门螺杆菌根除治疗可降低胃癌风险
💡 建议：挂内分泌科复查，日常减少油腻饮食
注意事项
- 本工具仅供健康信息参考，不构成医疗诊断
- 具体诊疗请遵医嘱
- 文献检索结果代表当前医学共识，可能随研究进展更新
Usage Guidance
This skill does what it claims (parse medical PDFs, summarize, search literature, render cards) but it omits critical privacy and consent steps. Before installing or using it: (1) confirm how uploaded PDFs and extracted text are stored, transmitted, and retained; (2) require explicit user consent/confirmation before any external queries that include personal health details and before publishing to public platforms; (3) verify which external skills/services (brave-search, card-renderer, publishing connectors) will receive data and review their privacy/security policies; (4) prefer local/anonymized processing or redaction of names/IDs before any network calls; (5) test the workflow with synthetic/non-sensitive reports first; and (6) consider disabling autonomous invocation or restricting publishing steps to manual approval to avoid accidental leakage of PHI. If you operate under health-data regulations (e.g., HIPAA, GDPR), ensure compliance before use.
Capability Analysis
Type: OpenClaw Skill
Name: ai-pr-medical-report
Version: 1.0.0
The skill bundle is a legitimate AI-driven medical report interpreter that uses standard tools like nano-pdf for extraction and brave-search for medical literature. The workflow defined in SKILL.md and workflow.json is transparent, focused on its stated purpose of health data analysis, and contains no evidence of malicious intent, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The name/description match the workflow: extracting PDF text, identifying lab indicators, searching literature, rendering cards, and optionally publishing. Referencing nano-pdf, brave-search, and card-renderer is coherent for the declared tasks. However, the skill also describes publishing to public platforms (公众号/小红书) but does not require or document credentials or confirmation steps for publishing; that omission is noteworthy.
Instruction Scope
SKILL.md instructs extracting full report text and using search to query literature about abnormal indicators, and optionally publishing report-derived content. It does not instruct redaction/anonymization of personal data before external queries or publication, nor does it require explicit user confirmation before posting to public platforms. That broad data handling (sending potentially identifiable medical content to external search/publish endpoints) is out-of-band for a simple 'read-and-summarize' description unless explicit privacy safeguards are added.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal filesystem/install risk. No downloads or binaries are requested by the skill itself.
Credentials
No environment variables or credentials are declared. Yet optional publishing features will inherently require credentials for external platforms (not declared). The lack of declared credentials is inconsistent with the publishing capability and makes it unclear how authentication/consent is expected to be handled.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). Autonomous invocation combined with data-exfiltration vectors (external search and publishing) increases risk, but autonomy alone is not a fault of the skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-pr-medical-report - After installation, invoke the skill by name or use
/ai-pr-medical-report - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of ai-pr-medical-report.
- Upload PDF medical test reports for automatic AI interpretation of key indicators.
- Highlight abnormal results and compare with medical reference ranges.
- Fetch and summarize latest medical literature using brave-search.
- Generate structured and easy-to-understand health reports, with optional visual cards for sharing.
- Supports one-click publishing to social platforms like public accounts or Xiaohongshu.
Metadata
Frequently Asked Questions
What is AI医学报告解读助手?
AI 医学报告解读助手 — 上传检验报告 PDF，AI 自动解读关键指标，查询最新医学文献，生成结构化健康解读报告并支持一键发布。 It is an AI Agent Skill for Claude Code / OpenClaw, with 84 downloads so far.
How do I install AI医学报告解读助手?
Run "/install ai-pr-medical-report" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI医学报告解读助手 free?
Yes, AI医学报告解读助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI医学报告解读助手 support?
AI医学报告解读助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI医学报告解读助手?
It is built and maintained by zlszhonglongshen (@zlszhonglongshen); the current version is v1.0.0.
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