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Search and analyze clinical trials for competitive intelligence. Find trials by drug, target, indication, sponsor, phase, or status. Use when users ask about clinical trials, enrollment, trial design, or competitive trial landscapes.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Assess clinical trial design feasibility for biopharma due diligence. Evaluates patient population, biomarker prevalence, endpoint selection, comparator analysis, enrollment projections, and regulatory precedent. Use when users ask about trial design, feasibility assessment, enrollment projections, endpoint strategy, or trial success probability.
Comprehensive competitive intelligence for biopharma assets and indications. Analyzes competitive landscape, pipeline positioning, differentiation, and market dynamics. Use when users ask about competitive landscape, market positioning, pipeline comparison, or competitive threats.
Analyze biopharma deals (M&A, licensing, collaborations) for due diligence and competitive intelligence. Evaluates deal terms, comparables, valuations, and strategic rationale. Use when users ask about deal analysis, transaction comparables, licensing terms, M&A valuation, or deal flow.
Identify drug repurposing candidates using target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, clinical data, safety profiles, and deal precedents. Use when exploring repurposing opportunities, new indications for approved drugs, or therapeutic alternatives.
Comprehensive computational validation of drug targets for due diligence. Evaluates targets across multiple dimensions — disease association, druggability, clinical precedent, safety, competitive landscape. Produces a quantitative Target Validation Score with GO/NO-GO recommendation. Use when users ask about target validation, druggability, or "is X a good drug target for Y?"
Systematic literature mining and evidence synthesis for biopharma research. Automates literature search, screening, data extraction, and synthesis. Use when users ask for literature reviews, evidence synthesis, publication analysis, or systematic searches on a biomedical topic.
| name | clinical-trials-search |
| description | Search and analyze clinical trials for competitive intelligence. Find trials by drug, target, indication, sponsor, phase, or status. Use when users ask about clinical trials, enrollment, trial design, or competitive trial landscapes. |
| user-invocable | false |
Search clinical trials using Gosset's curated trial database and supplement with web search for the latest data.
Use the find_trials MCP tool for structured trial data:
find_trials(query="Phase 3 NSCLC PD-1 inhibitors", limit=25)
Returns structured data: nct_id, title, status, phase, sponsors, drugs, targets, modalities, diseases, eligibility, endpoints, dates.
For deeper research or when structured search is insufficient:
gosset_agent(prompt="Find all Phase 3 trials comparing durvalumab vs pembrolizumab in first-line NSCLC")
For detailed trial data not in Gosset, query ClinicalTrials.gov directly:
import requests
# Search trials
r = requests.get("https://clinicaltrials.gov/api/v2/studies", params={
"query.term": "pembrolizumab NSCLC Phase 3",
"filter.overallStatus": "RECRUITING,ACTIVE_NOT_RECRUITING,COMPLETED",
"pageSize": 50,
"fields": "NCTId,BriefTitle,OverallStatus,Phase,StartDate,CompletionDate,EnrollmentCount,LeadSponsorName,Condition,InterventionName"
})
# Get single study by NCT ID
r = requests.get("https://clinicaltrials.gov/api/v2/studies/NCT04000165")
# Study statistics / enrollment
r = requests.get("https://clinicaltrials.gov/api/v2/stats/size")
Use web search to fill gaps — recent trial readouts, press releases, conference presentations.
find_trials(query="<user query>", limit=25)
For each relevant trial, gather additional context:
find_drugs to get drug/asset detailsfind_companies to get sponsor informationStructure findings as:
| NCT ID | Title | Phase | Status | Sponsor | Drug | Primary Endpoint | Est. Completion |
|---|
Present results as a structured table with key trial attributes, followed by competitive insights and implications.