Trial eligibility agent
Skill bg-szy/TOP-SKILLS/skills/awesome-skills/trial-eligibility-agent
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npx -y skills add bg-szy/TOP-SKILLS --skill trial-eligibility-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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What its author says it does
Copied from the file, not written here
Parse trial protocols and patient data to produce criterion-level MET/NOT/UNKNOWN determinations with evidence and gaps for clinical trial screening tasks.
SKILL.md
2.4 KB, as published. Nobody here has run it
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At-a-Glance
- description (10-20 chars): Trial triage hub
- keywords: eligibility, ClinicalTrials, FHIR, evidence, gaps
- measurable_outcome: Produce a MET/NOT/UNKNOWN matrix with supporting citations for ≥90% of inclusion/exclusion criteria within 5 minutes per trial request.
Inputs
trial_id(NCT or sponsor ID) plus protocol text if not public.patient_summarynarrative and optionalpatient_structuredFHIR bundle.- Declare data sources used (notes, labs, imaging, meds) to show provenance.
Outputs
- Structured table (JSON recommended) listing each criterion id/text with status, evidence snippet, and confidence.
- Overall recommendation (
potentially_eligible,not_eligible,needs_more_information). - Data gap checklist covering missing labs/imaging/biomarkers.
Workflow
- Acquire protocol: Pull eligibility text from ClinicalTrials.gov or sponsor PDF.
- Normalize criteria: Break into atomic checks with AND/OR logic and thresholds.
- Extract patient facts: Map narrative + FHIR data into canonical features (age, labs, ECOG, biomarkers).
- Evaluate: Assign MET/NOT/UNKNOWN with cited evidence for each criterion, flag missing context explicitly.
- Summarize: Present recommendation and highlight gating unknowns plus next-best actions.
Guardrails
- Never claim enrollment decisions; mark outputs as advisory.
- Cite direct patient evidence for every MET/NOT call; default to UNKNOWN rather than guessing.
- Respect PHI handling expectations—avoid storing raw notes outside secure paths.
Tooling & References
- Use
README.mdfor API snippets (FHIR parsing, JSON schema) and dependency versions. - Pair with
Clinical/Trial_Matching/TrialGPTwhen retrieval/ranking is also needed.