If you're writing a medical imaging AI review paper for journal submission, this skill enforces the discipline that prevents you from shipping a draft full of hallucinated citations and placeholder numbers. It walks you through a six-phase workflow that makes you verify every claim before you write it, not after. The methodology is opinionated: no flat method catalogs, no AI-detector hedge phrases, no vendor names in body text, and verdict sentences only where you have evidence to back them up. Built directly from the failure modes of a coronary CTA review that shipped with 17 broken DOIs and fabricated architecture details. It's overkill for internal lit reviews, but if the goal is to pass peer review on factual grounds, it's the right amount of paranoia.
npx skills add https://github.com/luwill/research-skills --skill medical-imaging-review