name: trialgpt-matching description: Trial shortlist keywords:
- retrieval
- ranking
- ClinicalTrials
- patient-profile measurable_outcome: Produce ≥5 ranked trials (when available) with rationale + missing-data notes within 3 minutes of receiving a patient query. license: MIT metadata: author: TrialGPT Team version: "1.0.0" compatibility:
- system: Python 3.9+ allowed-tools:
- run_shell_command
- read_file
Run the locally checked-out TrialGPT pipeline to retrieve, rank, and explain candidate trials for a patient before deeper eligibility review.
- Patient summary (structured JSON or free text) with condition keywords.
- Optional filters: geography, phase, intervention, biomarker.
- Up-to-date ClinicalTrials.gov dump or API access.
- Ranked trial table with NCT ID, title, score, and short justification.
- Parsed inclusion/exclusion text ready for downstream eligibility agents.
- Missing data checklist (e.g., "ECOG not provided").
- Setup:
cd repo && pip install -r requirements.txt(or reuse env). - Trial retrieval: Run TrialGPT retriever to pull candidate trials for the indication.
- Criteria parsing: Convert eligibility blocks to structured criteria JSON.
- Patient profiling: Summarize patient facts (labs, prior therapies, biomarkers).
- Ranking: Execute TrialGPT ranking script to score each trial and emit explanations.
- Handoff: Export ranked list + structured criteria for
trial-eligibility-agent.
- Refresh ClinicalTrials.gov metadata regularly to avoid stale trials.
- Label scores as AI-generated suggestions pending clinician validation.
- Retain prompt/config metadata for audit trails.
- Detailed usage instructions and repo layout live in
README.md. - Coordinate with
Skills/Clinical/Trial_Eligibility_Agentfor criterion-level review.