What makes med-chronic-disease-review notable?

1K downloads. Trust evidence available

How should med-chronic-disease-review be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

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med-chronic-disease-review

门诊慢病审核（糖尿病/高血压）。输入 OCR 结果数组 JSON，由内部医疗大模型输出审核结论与原因（原始 JSON + 自然语言结论）。 Skill: med-chronic-disease-review Owner: unisound-llm Summary: 门诊慢病审核（糖尿病/高血压）。输入 OCR 结果数组 JSON，由内部医疗大模型输出审核结论与原因（原始 JSON + 自然语言结论）。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:06:28.455Z | user - 移除文档 skill-card.md，相关信息现由 SKILL.md 统一维护。 - 核心审核引擎由后端 API 改为内部医疗大模型，需通过 --appkey 参数鉴权。 - 调整预处理与推理链路，依赖 _shared/doc-preprocess 公共库，确保结构化 OCR 及文档支持。 - 命令行参数和调用方式更新，增加 --dry-run 用于本地链路校验。 - 文档精简与调整，突出依赖、输入输出格式，以及

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.2release · observed Jul 16, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1770nyybxj4gn0vk38n6wr6k584x8ea:med-chronic-disease-review

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-med-chronic-disease-review/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

17,318 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: med-chronic-disease-review
description: 门诊慢病审核（糖尿病/高血压）。输入 OCR 结果数组 JSON，由内部医疗大模型输出审核结论与原因（原始 JSON + 自然语言结论）。
metadata:
  {
    "openclaw":
      {
        "emoji": "🩺"
      }
  }
---

# 门诊慢病审核

概述
----
给定一份 OCR 结果数组（每项包含 `fileName/page/docType/ocrText`），本技能会：

- 调用内部医疗大模型进行慢病审核推理
- 输出结构化 JSON（含 `final_decision`、`reasoning`）
- 输出自然语言摘要（结论 + 原因）

数据安全、隐私与伦理声明
------------------------
- **最小必要原则**：仅处理审核所必需的文本内容；不要求也不鼓励提供与审核无关的身份信息。
- **严格脱敏**：在发送至任何模型/接口前，会对可识别个人身份的信息进行脱敏/去标识化处理（如姓名、证件号、手机号、详细地址、人脸/影像等）。仅传递脱敏后的必要信息用于本次 skill 调用。
- **不做本地持久化**：不将用户输入与中间结果写入本地持久化存储（包含磁盘文件、数据库、日志）。仅在内存中短暂处理；**本次调用结束即销毁**。
- **第三方 API 风险提示**：在功能需要时，会调用内部医疗大模型接口；此时仅会发送**脱敏后的必要信息**，并使用加密传输。除完成本次请求外，不用于任何其他用途（如训练、画像、营销）。
- **医疗边界**：本技能输出为审核规则匹配与原因摘要的辅助信息，不构成医疗诊断或治疗建议；如涉及临床判断请以执业医生意见为准。

输入格式
--------
输入必须是 JSON 数组（list），示例：

```json
[
  {"fileName":"xxx.pdf","page":1,"docType":"出院记录","ocrText":"..."},
  {"fileName":"xxx.pdf","page":2,"docType":"检验报告","ocrText":"..."}
]
```

也支持通过统一入口 `scripts/run.py` 直接输入 `pdf/doc/docx/xls/xlsx/csv/txt/json`。
预处理成功后，会先归一化为 `ocr_array.json`（每项含 `fileName/page/docType/ocrText`），再调用医疗大模型审核。

快速开始
--------
从 `skills` 目录执行：

```bash
# 糖尿病
python3 insurance/claims-review/chronic-disease/scripts/run.py \
  --disease-code diabetes \
  --appkey <your-appkey> \
  --input data/med-chronic-disease-review/糖尿病_ocr_task_result.json

# 高血压
python3 insurance/claims-review/chronic-disease/scripts/run.py \
  --disease-code hypertension \
  --appkey <your-appkey> \
  --input data/med-chronic-disease-review/高血压_ocr_task_result.json

# 本地校验（不调模型）
python3 insurance/claims-review/chronic-disease/scripts/run.py \
  --disease-code diabetes \
  --dry-run \
  --input data/med-chronic-disease-review/糖尿病_ocr_task_result.json

# 或继续直接使用原始 OCR 数组入口
python3 insurance/claims-review/chronic-disease/scripts/chronic_disease_review.py \
  --disease-code diabetes \
  --appkey <your-appkey> \
  --input data/med-chronic-disease-review/糖尿病_ocr_task_result.json
```

参数说明
--------
- `--disease-code STRING`：**必填**。糖尿病/高血压（也支持 `diabetes/hypertension/dm/htn` 别名）。本 skill 每次只审核一个病种。
- `--review-type STRING`：可选。默认 `慢病审核`。
- `--appkey STRING`：**必填**（`--dry-run` 时除外）。内部医疗大模型鉴权 key，由平台分配。
- `--input PATH`：OCR 数组 JSON（UTF-8）或经 `run.py` 支持的文档格式。
- `--base URL`：大模型 base（默认：`https://maas-api.hivoice.cn/v1`）。
- `--model STRING`：模型名（默认：`u2-med`）。
- `--timeout SECONDS`：HTTP 超时（默认：120）。
- `--dry-run`：跳过模型调用，输出占位结论（用于联调预处理链路）。
- `--output-json PATH`：保存原始返回 JSON（默认：`../runs/med-chronic-disease-review/{scenario}_resp.json`）。
- `--output-text PATH`：保存自然语言摘要（默认：`../runs/med-chronic-disease-review/{scenario}_resp.txt`）。

统一入口附加参数（`scripts/run.py`）
----------------------------------
- `--input-type auto|pdf|doc|docx|xls|xlsx|csv|txt|json`：输入类型；默认 `auto`。
- `--sheet STRING`：读取 Excel 时指定 sheet（可选）。
- `--encoding STRING`：`txt/csv` 编码（默认：`utf-8`）。
- `--save-prepared`：保存预处理后的 OCR 数组 JSON，便于调试。

输出约定
--------
- 若输出路径父目录不存在，会自动创建。
- 自然语言摘要重点字段：
  - `final_decision`：通过/不通过/待补充
  - `reasoning`：原因（可选）

_meta.json

{
  "ownerId": "kn7ft98qwhxyrgcy7b7rzdhrrd8366k6",
  "slug": "med-chronic-disease-review",
  "version": "1.0.2",
  "publishedAt": 1784181988455
}

skill-card.md

## Description:

Reviews outpatient chronic disease materials for diabetes or hypertension from OCR or document inputs and produces an internal medical model assessment with a structured JSON decision and natural-language rationale.

This skill is ready for commercial/non-commercial use.

## Publisher:

[unisound-llm](https://clawhub.ai/user/unisound-llm)

### License/Terms of Use:

MIT-0

## Use Case:

Insurance and healthcare operations teams use this skill to review submitted chronic disease materials for diabetes or hypertension and summarize whether the provided records support the requested outpatient chronic disease review. The output is administrative review support and not a medical diagnosis or treatment recommendation.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Raw medical records and bearer tokens can be sent to a configurable model endpoint.

Mitigation: Use only authorized data, pre-redact patient identifiers before use, and keep --base pinned to a trusted HTTPS endpoint.

Risk: Sensitive raw JSON, text summaries, or prepared OCR arrays can be written to disk.

Mitigation: Write outputs only to a private controlled directory, avoid --save-prepared unless needed, and remove retained files according to local data-handling policy.

Risk: Administrative review results could be mistaken for clinical judgment.

Mitigation: Treat the output as review support only and defer clinical diagnosis or treatment decisions to qualified medical professionals.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/med-chronic-disease-review)
- [Default internal medical model API endpoint](https://maas-api.hivoice.cn/v1/chat/completions)

## Skill Output:

**Output Type(s):** [text, json, shell commands, configuration]

**Output Format:** [Structured JSON response plus natural-language text summary, with command output that reports saved file paths and a preview.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Supports dry-run validation; normal execution writes raw JSON and text summary files to the configured output paths.]

## Skill Version(s):

1.0.2 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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