Agent skill · Data & Analytics

trial-eligibility-agent

Parse trial protocols and patient data to produce criterion-level MET/NOT/UNKNOWN determinations with evidence and gaps for clinical trial screening tasks.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill trial-eligibility-agent --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/analysis/trial-eligibility-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

## 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_summary` narrative and optional `patient_structured` FHIR bundle. - Declare data sources used (notes, labs, imaging, meds) to show provenance. ## Outputs 1. Structured table (JSON recommended) listing each criterion id/text with status, evidence snippet, and confidence. 2. Overall recommendation (`potentially_eligible`, `not_eligible`, `needs_more_information`). 3. Data gap checklist covering missing labs/imaging/biomarkers. ## Workflow 1. **Acquire protocol:** Pull eligibility text from ClinicalTrials.gov or sponsor PDF. 2. **Normalize criteria:** Break into atomic checks with AND/OR logic and thresholds. 3. **Extract patient facts:** Map narrative + FHIR data into canonical features (age, labs, ECOG, biomarkers). 4. **Evaluate:** Assign MET/NOT/UNKNOWN with cited evidence for each criterion, flag missing c

What's inside
Steps it walks through
  1. At-a-Glance
  2. Inputs
  3. Outputs
  4. Workflow
  5. Guardrails
  6. Tooling & References
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the trial-eligibility-agent skill do?

Parse trial protocols and patient data to produce criterion-level MET/NOT/UNKNOWN determinations with evidence and gaps for clinical trial screening tasks.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill trial-eligibility-agent --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 majiayu000/claude-skill-registry, a repository with 534 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