Evaluate research proposals against FINER criteria and produce a Go/No-Go decision.
npx skills add https://github.com/tito-gh/healthcare --skill finer-gate
Please help me install this Agent Skill. Skill: finer-gate Source: https://github.com/tito-gh/healthcare/tree/main/.claude/skills/finer-gate Command: npx skills add https://github.com/tito-gh/healthcare --skill finer-gate
FINER Gate Skill provides a structured, objective framework to evaluate research proposals using the FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant) and generate a Go/Conditional Go/No-Go decision, including considerations specific to real-world data (RWD).
Provide your research proposal details and receive a FINER-based Go/No-Go recommendation along with actionable improvement suggestions.
High-intent search queries and answers about installing and using this skill.
To evaluate a research proposal against FINER criteria, you input study design, data source, and primary outcome details to receive scored assessments on feasibility, interest, novelty, ethics, and relevance, yielding a Go/Conditional Go/No-Go decision with actionable improvements.
The FINER framework assesses research proposals for Feasibility, Interest, Novelty, Ethics, and Relevance. Applied to real-world data (RWD) studies, it explicitly scores data quality, biases, ethics, and regulatory alignment across retrospective designs and endpoints.
To assess bias and data quality in a retrospective RWD hematology study, submit your proposal details to receive explicit scoring on data sources, biases, and regulatory considerations, ensuring a comprehensive front-to-back evaluation.
Yes, you can use FINER criteria to evaluate retrospective study designs. The assessment tailors its feasibility, ethics, and regulatory checks specifically to real-world data sources and timelines rather than standard prospective trials.
For a comprehensive FINER-based proposal assessment, you need to provide inputs including the research proposal, drug, indication, study design, data source, primary outcome, and timeline to generate an accurate Go/No-Go recommendation.
A limitation of FINER-based real-world data evaluation is its strict focus on scoring feasibility, interest, novelty, ethics, and relevance, meaning it provides actionable improvements for proposal refinement but does not execute the actual retrospective data collection or analysis.
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