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Academic Research
作者
mirowangl-ops
· GitHub ↗
· v1.0.0
· MIT-0
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版本数
在 OpenClaw 中安装
/install xiaozhua-academic-research
功能描述
学术文献检索与整理。从 PubMed、Springer、PLOS 等数据库检索流行病学/医学/市场研究文献，整理各国数据、大样本队列、患病率/发病率，生成带完整引用（PubMed 链接）的结构化报告和 PPT。使用场景：疾病流行病学综述、市场规模调研、竞品学术对比。
使用说明 (SKILL.md)
学术文献检索
工作流程
- 关键词搜索 — web_search 搜 PubMed/学术数据库
- 文献筛选 — 优先 Meta 分析 > 系统综述 > 大样本队列 > 单中心
- 数据提取 — 患病率/发病率/样本量/年份/国家
- 引用标注 — 每条数据标注来源 [编号]
- PubMed 链接 — 格式 https://pubmed.ncbi.nlm.nih.gov/PMID/
输出格式
文档
- 按地区分组（北美/欧洲/亚洲/其他）
- 每条含：国家、患病率、研究名称、样本量、年份、引用编号
PPT
- 每页右上角标注 Ref: [x][y]
- 表格每行末尾 Ref 列
- 正文数据后行内标注 [x]
- 附录参考文献含完整引用 + PubMed 链接
注意事项
- 近五年文献优先
- 注明定义标准差异（ICS 2002 vs OABSS vs 自报）
- 不同年龄范围的数据不能直接比较，需标注
安全使用建议
This skill appears coherent and safe to enable. Before using it: (1) understand it has no built-in way to access paywalled full text (Springer) — supply credentials or accept relying on abstracts/open-access sources; (2) the SKILL.md asks for PPT/report output but provides no tool or format instructions — test how the agent will produce downloadable slides; (3) watch for hallucinated PMIDs/citations — validate PubMed IDs and links the agent provides; (4) confirm compliance with publisher copyright when retrieving or distributing full-text content. If you need automated PPT generation or subscription access, ask for those integrations/credentials explicitly and audit them.
功能分析
Type: OpenClaw Skill
Name: xiaozhua-academic-research
Version: 1.0.0
The skill bundle is designed for academic literature retrieval and structured report generation from medical databases like PubMed and Springer. The instructions in SKILL.md focus on data extraction, citation formatting, and PPT generation, with no indicators of malicious intent, data exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name and description match the instructions: the SKILL.md directs the agent to search PubMed/academic databases, extract epidemiology metrics, annotate citations, and produce structured reports/PPT. The skill requests no unrelated credentials or system access.
Instruction Scope
Instructions are narrowly scoped to web_search, literature selection, data extraction, and citation formatting. Minor gaps: it specifies generating PPTs and structured reports but gives no tool/formatting commands or files to create PPTs; it also references Springer (often paywalled) without requesting credentials or explaining how to obtain/pay for full-text access. The SKILL.md does not instruct reading any local files or environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files; lowest-risk footprint. Nothing is downloaded or written by an installer.
Credentials
The skill declares no environment variables, credentials, or config paths. That is proportionate to the stated purpose; however, the lack of credentials means paywalled sources cannot be accessed without extra configuration.
Persistence & Privilege
always is false and the skill does not request elevated persistence or modify other skills. Autonomous invocation is allowed by default but is not combined with other privileges here.
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 xiaozhua-academic-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaozhua-academic-research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 "academic-research" skill for academic literature retrieval and structuring.
- Enables structured searches across PubMed, Springer, PLOS, etc., focusing on epidemiology, medical, and market research literature.
- Automates data extraction (prevalence, sample size, year, country), with prioritized literature types (meta-analysis > systematic review > large cohorts).
- Outputs structured reports grouped by region, including complete reference markup and PubMed links.
- Generates presentation-ready (PPT) output with inline and appendix citations.
- Applies best practices: recent 5-year focus, definition reporting, and data comparability notes.
元数据
常见问题
Academic Research 是什么？
学术文献检索与整理。从 PubMed、Springer、PLOS 等数据库检索流行病学/医学/市场研究文献，整理各国数据、大样本队列、患病率/发病率，生成带完整引用（PubMed 链接）的结构化报告和 PPT。使用场景：疾病流行病学综述、市场规模调研、竞品学术对比。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 142 次。
如何安装 Academic Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaozhua-academic-research」即可一键安装，无需额外配置。
Academic Research 是免费的吗？
是的，Academic Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Academic Research 支持哪些平台？
Academic Research 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 Academic Research？
由 mirowangl-ops（@mirowangl-ops）开发并维护，当前版本 v1.0.0。
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