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Official Verified data analysis Safety 5/5

Medical Clinicaltrials

Skill by pascalwhoop

Why use this skill?

Efficiently search ClinicalTrials.gov for medical research, drug trials, and patient recruitment data using natural language queries with OpenClaw.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/pascalwhoop/medical-clinicaltrials
Or

What This Skill Does

The Medical Clinicaltrials skill provides an intelligent interface to the vast ClinicalTrials.gov database. By leveraging the OpenClaw agent, this skill abstracts the complexity of the ClinicalTrials.gov API into natural language queries. Users can search for ongoing, completed, or terminated clinical trials based on specific medical conditions, pharmaceutical interventions, or specific study phases. The skill allows for deep-diving into individual studies via their unique NCT identifiers, providing granular data such as trial status, recruitment criteria, study design, and primary outcomes. It acts as a bridge between high-level research questions and structured medical data, ensuring that researchers, patients, and healthcare professionals can access evidence-based data without manual database navigation.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Ensure your system has the base OpenClaw agent installed and configured. Execute the following command in your terminal: clawhub install openclaw/skills/skills/pascalwhoop/medical-clinicaltrials Once the installation process completes, the agent will automatically index the available tools and expose the search functions to your natural language prompts.

Use Cases

  • Medical Research: Quickly identify current drug repurposing opportunities by analyzing phase 2 or 3 trials for specific conditions.
  • Patient Advocacy: Help patients locate active recruitment sites for rare diseases like myasthenia gravis or multiple sclerosis to discuss with their primary care physicians.
  • Trend Analysis: Monitor the evolution of treatment protocols by filtering trials by study status (e.g., active vs. completed) to see what is currently dominating the research landscape.
  • Evidence Gathering: Aggregate metadata on clinical trials to support systematic reviews or literature synthesis.

Example Prompts

  1. "Search for active recruiting clinical trials for multiple sclerosis in the United States that are currently in Phase 3."
  2. "Find information on NCT04567890 and give me a summary of its primary endpoints and recruitment status."
  3. "Show me all recent clinical trials that involve the use of monoclonal antibodies for the treatment of autoimmune disorders."

Tips & Limitations

To maximize effectiveness, be as specific as possible with condition names; using standard medical terminology rather than colloquialisms yields more accurate results. Remember that this tool retrieves public data from a government registry, and information may change daily. Always verify specific recruitment requirements directly with the contact listed in the trial details. This skill does not provide medical advice or diagnosis; it is strictly an information retrieval tool for clinical data analysis. If a query returns too many results, refine your request by specifying a Phase or Status.

Metadata

Stars1249
Views0
Updated2026-02-21
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-pascalwhoop-medical-clinicaltrials": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#healthcare#clinical-research#medical-data#clinicaltrials#biotech
Safety Score: 5/5

Flags: external-api