tooluniverse-clinical-trial-matching

tooluniverse-clinical-trial-matching is a Bioinformatics & life sciences skill for AI agents, published by Zaoqu-Liu in the ScienceClaw repository on GitHub. Skillspace rates tooluniverse-clinical-trial-matching D (69/100) and it passed the safety scan; the rating is based on static analysis only.

AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
56

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubZaoqu-Liu/ScienceClaw

Our review

Architecture
91 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Bioinformatics & life sciences

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.