clinicaltrials-skill
Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries Published by openai in plugins.
Decision snapshot
Is this a fit?
Documentation, Design and media, Research, Includes SKILL.md
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
19 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is clinicaltrials-skill?
Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Design and media
- Research
- Documentation use cases
- Design and media use cases
Declared skill metadata
- Source file: plugins/life-science-research/skills/clinicaltrials-skill/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use clinicaltrials-skill
- Use it for documentation.
- Use it for design and media.
- Use it for research.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/life-science-research/skills/clinicaltrials-skill/SKILL.md
What it does
Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries
Skill instructions
Operating rules - Use scripts/clinicaltrialsclient.py for all ClinicalTrials.gov v2 calls. - Study searches are better with maxitems=10 and maxpages=1; only increase pages when the user explicitly wants more than the first page. - Use targeted params instead of broad unfiltered study dumps. - Re-run requests in long conversations instead of relying on older tool output. - Treat displayed ... in tool previews as UI truncation, not literal request content. Execution behavior - Return concise markdown summaries from the script JSON by default. - Prefer action=studies for search and action=metadata|searchareas|enums|statssize|fieldvalues|fieldsizes for API introspection and field stats. - If the user needs full pages or aggregated responses, set saveraw=true and report the saved file path. Input - Read one JSON object from stdin. - Required field: action - Supported actions: studies, metadata, searchareas, enums, statssize, fieldvalues, fieldsizes, request - Optional fields: path for actio
Verified compatibility and discovery
Frequently asked questions
What is clinicaltrials-skill?
clinicaltrials-skill is a open-source AI agent skill with Copy skill directory. Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries
Who is clinicaltrials-skill best for?
clinicaltrials-skill is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows, research workflows.
How do I install clinicaltrials-skill?
Install or run clinicaltrials-skill using Copy skill directory. Check clinicaltrials-skill for the latest setup command.
Is clinicaltrials-skill actively maintained?
clinicaltrials-skill may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
