A specialized research protocol for searching, filtering, and critically appraising biomedical literature via PubMed.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pubmed
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pubmed using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is PubMed?
The PubMed skill provides a robust framework for navigating the vast landscape of biomedical literature. It focuses on precision query construction using MeSH terms and Boolean operators, enabling users to find relevant medical evidence quickly. As a core component of Openclaw Skills, this resource ensures that AI agents and researchers follow best practices in evidence-based medicine by prioritizing high-quality study designs like systematic reviews and meta-analyses.
Beyond simple searching, this skill emphasizes the critical appraisal of scientific papers. It guides users through evaluating sample sizes, confidence intervals, and potential funding conflicts. By integrating these rules, users can avoid common research traps such as predatory journals or over-interpreted abstracts, ensuring the integrity of their medical research workflows.
PubMed Use Cases
- Formulating clinical research questions using the structured PICO framework.
- Identifying gold-standard evidence such as Randomized Controlled Trials (RCTs) for treatment efficacy.
- Filtering searches to exclude animal studies when focusing on human clinical questions.
- Tracking research progression through citation tracking and the Related Articles feature.
- Performing rigorous critical appraisal to detect red flags like selective reporting or lack of control groups.
How PubMed Works
- Build precise search queries using controlled MeSH vocabulary and uppercase Boolean operators (AND, OR, NOT).
- Apply technical field tags like [Title] or [MeSH Terms] to narrow the scope of results.
- Implement essential filters to isolate specific article types, publication dates, or human-only studies.
- Rank findings based on the study hierarchy, starting with systematic reviews and meta-analyses.
- Conduct a multi-point critical appraisal focusing on methods, statistical significance, and author affiliations.
- Utilize unique PMIDs for precise citation and export data to reference management tools.
PubMed Setup
To utilize these research protocols within your AI environment, import the PubMed ruleset from the Openclaw Skills repository. Ensure your agent is configured to recognize MeSH term syntax and Boolean logic.
# Example: Access the research rules via CLI
openclaw add skill pubmed-research-rules
PubMed Data Schema & Taxonomy
| Component | Description |
|---|---|
| PMID | Unique identifier for precise document referencing. |
| MeSH Terms | Controlled vocabulary for consistent concept mapping. |
| Study Hierarchy | Ranking from Systematic Reviews (Highest) to Case Reports (Lowest). |
| PICO Framework | Structured data entry for Patients, Interventions, Comparisons, and Outcomes. |
| Field Tags | Syntax like [Author] or [Title] for targeted metadata search. |
PubMed Advanced Features
- Clinical Queries integration for pre-filtered research on diagnosis and prognosis.
- Automated detection of red flags such as undisclosed conflicts of interest or small sample sizes.
- Support for advanced search syntax including truncation (therap*) and phrase searching.
- Integration with Retraction Watch protocols to identify controversial or retracted papers.
- Citation tracking to follow specific research developments forward in time.
SKILL.md
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