Clinicaltrials Skill for Codex

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

3k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

4915

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/openai/plugins --skill clinicaltrials-skill

What comes with it

8 908 bytes besides the instruction

agents/openai.yaml

scripts/clinicaltrials_client.py

The instruction itself

6 sections, as written by the author

Operating rules

Use scripts/clinicaltrials_client.py for all ClinicalTrials.gov v2 calls.
Study searches are better with max_items=10 and max_pages=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|search_areas|enums|stats_size|field_values|field_sizes for API introspection and field stats.
If the user needs full pages or aggregated responses, set save_raw=true and report the saved file path.

Input

Read one JSON object from stdin.
Required field: action
Supported actions: studies, metadata, search_areas, enums, stats_size, field_values, field_sizes, request
Optional fields: path for action=request, params, max_items, max_depth, max_pages, timeout_sec, save_raw, raw_output_path
Common ClinicalTrials.gov patterns:
{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}
{"action":"metadata"}
{"action":"field_values","params":{"field":"protocolSection.identificationModule.organization.fullName"}}

Output

action=studies returns pages_fetched, next_page_token, count metadata, and compact records.
Other actions return either compact records or a compact summary.
Use raw_output_path when save_raw=true.
Failure returns ok=false with error.code and error.message.

Execution

echo '{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}' | python scripts/clinicaltrials_client.py

References

No additional runtime references are required; keep the import package limited to this file and scripts/clinicaltrials_client.py.

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How to use it

Copy the folder

Take openai/clinicaltrials-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.