Agent skill

clinical-trial-finder

Find clinical trials for a gene, variant, or condition from ClinicalTrials.gov + EUCTR, with FHIR R4 output

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill clinical-trial-finder --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 22
SKILL.md size: 12 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: Duvet05 <gonzalo.galvezc@pucp.edu.pe>
Path: skills/clawbio/clinical-trial-finder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Domain Decisions - **Source database**: ClinicalTrials.gov API v2 (`https://clinicaltrials.gov/api/v2`) — the authoritative US registry mandated by FDAAA 801 (2007) and mirrored by WHO ICTRP. Chosen over EudraCT/EUCTR because it covers the largest global trial volume (>500 000 studies), provides a stable versioned REST API, and is the primary registry for FDA-regulated interventions. Reference: Zarin et al., *NEJM* 2011; 364:852–860. - **Query field**: `query.cond` (condition/disease field), not `query.term` (free-text across all fields). `query.cond` is indexed against MeSH descriptors by the NLM indexing pipeline, giving substantially better recall for condition queries than unstructured text search. Reference: ClinicalTrials.gov API v2 specification, `https://clinicaltrials.gov/data-api/api`. - **MeSH condition coding**: MeSH IDs are read from `derivedSection.conditionBrowseModule.meshes` — the NLM-curated MeSH mapping that ClinicalTrials.gov computes internally during study indexing. This avoids a separate NLM API call and uses the same vocabulary that `query.cond` is indexed against, ensuring query/result consistency. Reference: NLM Medical Subject Headings, `https://www.nl

What's inside
Steps it walks through
  1. Domain Decisions
  2. Safety Rules
  3. Agent Boundary
Ships with 21 files
  • .gitignore
  • api.py
  • clinical_trial_finder.py
  • constants.py
  • demo.sh
  • demo_input.txt
  • euctr.py
  • examples/README.md
  • examples/demo_output/checksums.sha256
  • examples/demo_output/commands.sh
  • examples/demo_output/fhir_bundle.json
  • examples/demo_output/figures/phase_distribution.png
  • examples/demo_output/report.html
  • examples/demo_output/report.md
  • examples/demo_output/summary.json
  • examples/demo_output/tables/trials.csv
  • gwas_bridge.py
  • opentargets.py
  • tests/test_clinical_trial_finder.py
  • tests/test_fhir_e2e.py
  • writers.py
More from awesome-bio-agent-skills
All skills →
About this skill
What does the clinical-trial-finder skill do?

Find clinical trials for a gene, variant, or condition from ClinicalTrials.gov + EUCTR, with FHIR R4 output

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill clinical-trial-finder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going