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在 OpenClaw 中安装
/install pubmed-literature-search
功能描述
临床医学顶刊文献检索与分析。当用户要求检索医学文献、查找临床研究论文、搜索特定疾病或治疗方法相关文献、或者需要基于PubMed数据库进行系统文献综述时使用。支持JCR分区筛选、影响因子排序和综合相关性排序。
安全使用建议
This skill appears coherent and focused on PubMed+JCR literature retrieval. Before installing or using it: 1) Ensure the execution environment you plan to use has Python and pandas (the SKILL.md assumes these but the manifest doesn’t list them). 2) Be prepared to provide a JCR Excel file — review that file for sensitive content before uploading. 3) Confirm the local override rule (the Int J Surg → Q2 adjustment) is acceptable for your use. 4) Expect PubMed API rate limits; for large jobs ensure batching is handled. 5) Always verify returned PMIDs and read source abstracts/full texts for clinical decisions — automated ranking is a triage aid, not a substitute for manual review.
功能分析
Type: OpenClaw Skill
Name: pubmed-literature-search
Version: 1.0.0
The skill bundle describes a legitimate workflow for clinical medicine literature retrieval using the PubMed API and JCR journal rankings. It includes detailed instructions for the AI agent to construct MeSH-based queries, process user-provided Excel data via pandas, and apply a specific scoring algorithm for ranking papers. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found; the 'ReservedCode' and 'AIGC' metadata in SKILL.md are standard tracking headers for content generated by the Minimax AI platform.
能力评估
Purpose & Capability
Name/description (PubMed literature search + JCR-based ranking) match the SKILL.md: the instructions describe constructing MeSH-based queries, calling NCBI Entrez (ESearch/ESummary/EFetch), ingesting a JCR Excel file, and ranking results by relevance/JCR/year — all consistent with the stated purpose.
Instruction Scope
Instructions stay within the stated purpose (query construction, PubMed API calls, analysis of top-50 papers). They explicitly require a user-provided JCR Excel file and describe using pandas for processing. The SKILL.md does not instruct the agent to read unrelated system files or secrets. Minor issue: the doc assumes ability to run Python/pandas and perform HTTP calls but the skill's manifest does not declare these runtime dependencies.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing in the SKILL.md directs downloading arbitrary archives or third-party installers.
Credentials
No environment variables, credentials, or config paths are requested. The only external access is to the public NCBI Entrez API (expected) and to a user-supplied JCR Excel file (document data). No unrelated secrets are required.
Persistence & Privilege
The skill is not always-on and does not request system-wide persistence or modify other skills. Autonomous invocation is allowed (platform default) but is not combined with other concerning privileges.
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 pubmed-literature-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/pubmed-literature-search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 PubMed clinical literature retrieval and analysis skill.
- Supports advanced PubMed literature searches with MeSH term expansion, synonym recognition, and user-confirmed search strategies.
- Integrates JCR 2025 journal ranking data for impact factor and quartile filtering, including custom local overrides.
- Provides comprehensive sorting by relevance, journal ranking, and recency, with adjustable weights and filtering options.
- Outputs structured reports with Top 10 recommendations, research type and journal distribution, and trend analyses.
- Enables workflow adjustments for time range, journal ranking, research type, and sorting methods.
元数据
常见问题
PubMed临床医学文献检索系统 是什么？
临床医学顶刊文献检索与分析。当用户要求检索医学文献、查找临床研究论文、搜索特定疾病或治疗方法相关文献、或者需要基于PubMed数据库进行系统文献综述时使用。支持JCR分区筛选、影响因子排序和综合相关性排序。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 240 次。
如何安装 PubMed临床医学文献检索系统？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pubmed-literature-search」即可一键安装，无需额外配置。
PubMed临床医学文献检索系统 是免费的吗？
是的，PubMed临床医学文献检索系统 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
PubMed临床医学文献检索系统 支持哪些平台？
PubMed临床医学文献检索系统 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 PubMed临床医学文献检索系统？
由 Flash9107（@flash9107）开发并维护，当前版本 v1.0.0。
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