clinical-trials-database

clinical-trials-database is a skill for Claude Code, Codex from google-deepmind/science-skills. It costs 71 tokens per session (3,237 once invoked), scanned A, original, Apache-2.0.

A tool for searching ClinicalTrials.gov, a public database of medical research studies. It can find trials by condition, treatment, location, status, or phase and retrieve details by study ID.

In plain words
What is it for?
Use it to find recruiting studies, inspect eligibility requirements, count trials, look up a study by its NCT identifier, or review a sponsor's trials.
Why use it?
It avoids manually searching large trial records and helps limit results to the information needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find recruiting studies, inspect eligibility requirements, count trials, look up a study by its NCT identifier, or review a sponsor's trials.

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Install with agentmods
npx agentmods add skills/google-deepmind/science-skills/clinical_trials_database
About the project

Science Skills is a collection of add-ons that give AI agents structured instructions, scripts, and references for scientific research, including genomics, structural biology, cheminformatics, and literature search. Researchers use it to guide agents through specialized scientific tasks with information from databases and tools such as AlphaGenome, AFDB, and UniProt. The catalogue entries are individual skills from this collection.

google-deepmind/science-skills · 2,863 stars · on GitHub · antigravity.google

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add google-deepmind/science-skills --skill clinical_trials_database
Clone the repo
git clone --depth 1 https://github.com/google-deepmind/science-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for clinical-trials-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/google-deepmind/science-skills/clinical_trials_database.svg)](https://agentmods.dev/skills/google-deepmind/science-skills/clinical_trials_database)
Your own site
<a href="https://agentmods.dev/skills/google-deepmind/science-skills/clinical_trials_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/clinical_trials_database.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,237 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.03237
Opus 5 $0.00036 $0.01618
Sonnet 5 $0.00014 $0.00647
Haiku 4.5 $0.00007 $0.00324

Measured 8d ago against content hash d7c3390f01dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

clinical-trials-database scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/clinical_trials_api.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/clinical_trials_database/SKILL.md · 379 lines

How it starts

The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clinical Trials Database

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/clinical_trials_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://clinicaltrials.gov/, then (2) create the file recording the notification text and timestamp.

Overview

Access worldwide clinical trial data from ClinicalTrials.gov via the REST API v2. The CLI script at scripts/clinical_trials_api.py wraps the API with dedicated flags for common filters (phase, age group, status, intervention, sponsor, etc.) so you rarely need to construct raw queries.

Core Rules

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.
  • Always use --fields — trial JSON records can be very large; restrict to the data points you need.
  • Use --count-total first — check result volume before fetching all records.
  • Paginate large result sets — use --limit with --page-token to iterate.
  • Trust Search Filters: Do not manually re-filter results unless explicitly asked to verify detailed eligibility.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Context Efficiency Warning

Trial JSON records can be very large. Always use the --fields parameter to restrict the response to only the data points you need. After writing to file, read only the fields you need rather than the entire file.

[!TIP] Use references/studies_schema.md to identify exact field paths for --fields.

Response Layout Summary

API responses contain a list of studies (usually in a studies[] array). Each study is split into protocolSection and optional resultsSection.

Read the full file on GitHub · 379 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 379 lines · 71 tokens per session scan A d7c3390f01dd

Subscribe to this mod's changes

clinical-trials-database is a skill published in the GitHub repository google-deepmind/science-skills (2,863 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 71 tokens to every session and 3,237 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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