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flash9107

PubMed临床医学文献检索系统

by Flash9107 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
240
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0
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1
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1
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Install in OpenClaw
/install pubmed-literature-search
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pubmed-literature-search
  3. After installation, invoke the skill by name or use /pubmed-literature-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug pubmed-literature-search
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is PubMed临床医学文献检索系统?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 240 downloads so far.

How do I install PubMed临床医学文献检索系统?

Run "/install pubmed-literature-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is PubMed临床医学文献检索系统 free?

Yes, PubMed临床医学文献检索系统 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does PubMed临床医学文献检索系统 support?

PubMed临床医学文献检索系统 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created PubMed临床医学文献检索系统?

It is built and maintained by Flash9107 (@flash9107); the current version is v1.0.0.

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