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unisound-literature-retrieval
作者
Unisound-LLM
· GitHub ↗
· v1.0.0
· MIT-0
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当前安装
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版本数
在 OpenClaw 中安装
/install unisound-literature-retrieval
功能描述
医生端临床科研 — 医学文献问答与检索延展，在用户提供的题录/摘要片段上做 PICO 对齐与证据叙事。
使用说明 (SKILL.md)
医学文献检索（问答 / 延展）
概述
将「临床问题」与可选的本地已抓取题录或摘要片段一并交给内部医疗大模型，生成 PICO 对齐的问题重构、证据脉络梳理、检索式延展建议与知识空白提示。适用于开题、综述大纲、或向上级汇报前的文献叙事草稿。
本 skill 不直连 PubMed / CNKI 等外部索引；
passages由上游爬虫、图书馆 API 或手工粘贴提供。与药企侧literature-analysis相比，本包更强调临床问题导向与「下一步可查什么」的延展，而非研发管线证据表。
业界脉络（写法参考，非功能承诺）
系统综述与快速证据合成中广泛采用 PICO（Population, Intervention, Comparator, Outcome） 框架约束检索问题；实践型产品常在「关键词布尔检索」之上叠加 语义段落排序 与 引用级摘要。本 skill 在 prompt 层显式引导 PICO 与「可检索引言」，便于后续接入真实检索 API 时把同一 JSON 映射为查询 DSL。
快速开始
python3 scripts/run.py --input input.json --output output.json --appkey YOUR_KEY
输入字段（JSON）
| 字段 | 必填 | 说明 |
|---|---|---|
clinical_question |
是 | 临床或科研问题（一句话或多句） |
passages |
否 | 文献片段数组：title、year、excerpt（可无 PMID/DOI） |
constraints |
否 | 如人群、语种、研究设计偏好等 |
输出约定
{
"skill": "医学文献检索",
"status": "ok",
"data": { },
"text": "Markdown：PICO、要点、延展检索建议等"
}
参数
--input PATH：必填。--output PATH：可选。--appkey STRING：必填。内部医疗大模型鉴权 key。
模型配置
https://maas-api.hivoice.cn/v1/chat/completions·u1-insuremed
边界
非实时文献库；不替代系统评价与人工全文阅读。若 passages 为空，模型仅基于通用医学知识给出检索策略级建议，须在呈现中区分「未锚定具体文献」。
安全使用建议
This skill appears coherent and purpose-aligned. Before installing or using it, confirm you trust the publisher and API endpoint, use a protected appkey, and avoid sending patient-identifying or confidential clinical data unless your organization has approved that provider workflow.
功能分析
Type: OpenClaw Skill
Name: unisound-literature-retrieval
Version: 1.0.0
The skill is a legitimate medical literature analysis tool designed to perform PICO (Population, Intervention, Comparison, Outcome) alignment using a Unisound medical LLM (hivoice.cn). The Python script (scripts/run.py) is well-structured, uses standard libraries for HTTP requests, and contains no evidence of malicious behavior, data exfiltration, or prompt injection risks.
能力评估
Purpose & Capability
The stated purpose and code align: it reformats clinical literature questions into PICO-style evidence narratives and retrieval suggestions. The main user-visible consideration is that the provided question and passages are sent to an external/internal medical model endpoint.
Instruction Scope
The skill documents a manual command-line workflow with explicit input, output, and appkey arguments. There are no instructions to override user intent, run automatically in the background, or treat retrieved text as authoritative instructions.
Install Mechanism
There is no install spec or package dependency; the included script uses Python standard libraries. The internal _meta.json owner/slug differ from the registry listing, so users may want to confirm provenance or renaming history.
Credentials
The script reads a user-specified JSON file, optionally writes a user-specified output file, and calls the disclosed model API using a required appkey. This is proportionate to the skill purpose, but users should avoid including patient identifiers unless the provider relationship permits it.
Persistence & Privilege
No persistence, background service, privilege escalation, credential storage, broad local indexing, or autonomous account mutation is shown. The only file write is the optional user-specified output path.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install unisound-literature-retrieval - 安装完成后，直接呼叫该 Skill 的名称或使用
/unisound-literature-retrieval触发 - 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
- Initial release of the 医学文献检索 (med-doctor-literature-retrieval) skill.
- Supports clinical question entry and optional input of literature passages for PICO-aligned question restructuring, evidence synthesis, and retrieval suggestions.
- Designed for clinician-facing research and reporting scenarios; does not connect directly to external databases (e.g., PubMed, CNKI).
- Accepts structured JSON input and provides Markdown output with PICO breakdown, key points, and search extension advice.
- Emphasizes clinical problem orientation and next-step search guidance over comprehensive evidence tables.
元数据
常见问题
unisound-literature-retrieval 是什么？
医生端临床科研 — 医学文献问答与检索延展，在用户提供的题录/摘要片段上做 PICO 对齐与证据叙事。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 96 次。
如何安装 unisound-literature-retrieval？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install unisound-literature-retrieval」即可一键安装，无需额外配置。
unisound-literature-retrieval 是免费的吗？
是的，unisound-literature-retrieval 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
unisound-literature-retrieval 支持哪些平台？
unisound-literature-retrieval 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 unisound-literature-retrieval？
由 Unisound-LLM（@unisound-llm）开发并维护，当前版本 v1.0.0。
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