tripod-check

Audit clinical AI manuscripts against the 27-item TRIPOD+AI reporting checklist.

77|4|Updated Jun 20, 2022
One-click install
npx skills add https://github.com/htlin222/dotfiles --skill tripod-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tripod-check
Source: https://github.com/htlin222/dotfiles/tree/main/claude.symlink/skills/tripod-check
Command: npx skills add https://github.com/htlin222/dotfiles --skill tripod-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the auditing of prediction model and clinical AI manuscripts against the TRIPOD+AI checklist, ensuring transparent and robust reporting.

Core Features & Use Cases

  • TRIPOD+AI Compliance: Audits manuscripts against the 27-item checklist for prediction models and clinical AI.
  • Evidence Gathering: Guides users to identify study phase, modelling approach, and quote relevant manuscript text.
  • Use Case: A medical journal editor can use this Skill to quickly assess whether a submitted AI-driven diagnostic tool paper adheres to reporting standards, identifying missing information or areas needing clarification before peer review.

Quick Start

Use the tripod-check skill to audit the attached manuscript 'ai-diagnostic-model.pdf' against the TRIPOD+AI checklist.

Frequently Asked Questions about tripod-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit a clinical AI manuscript against the TRIPOD+AI checklist?

To audit a clinical AI manuscript against the TRIPOD+AI checklist, upload the document and the tool will scan its title, abstract, methods, results, and discussion to validate reporting completeness. It evaluates all 27 items to identify gaps and suggest actionable fixes.

What is TRIPOD+AI compliance for prediction model reporting?

TRIPOD+AI compliance for prediction model reporting ensures transparent documentation of machine learning models in clinical research. The auditing process checks manuscripts against a 27-item checklist to verify that study phases, modeling approaches, and outcomes are fully reported.

How do I identify missing reporting items in a medical AI diagnostic paper?

To identify missing reporting items in a medical AI diagnostic paper, scan the text against the TRIPOD+AI checklist to detect common gaps. The audit validates reporting completeness across all manuscript sections and provides targeted suggestions for clarification.

Can I use an automated manuscript audit for peer review of clinical AI papers?

Yes, you can use an automated manuscript audit for peer review of clinical AI papers. Medical journal editors can quickly assess whether submitted diagnostic tool papers adhere to AI reporting standards and identify missing information before final review.

What specific machine learning reporting requirements does a TRIPOD+AI audit check?

A TRIPOD+AI audit checks specific machine learning reporting requirements across 27 checklist items, emphasizing study phase identification, modeling approach details, and direct text quoting. It ensures robust reporting completeness throughout the manuscript.

Does the TRIPOD+AI checklist audit cover the discussion section of a clinical prediction model paper?

Yes, the TRIPOD+AI checklist audit covers the discussion section of a clinical prediction model paper. It scans title, abstract, methods, results, and discussion to validate reporting completeness and identify compliance gaps requiring actionable fixes.