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Academic AIO — Medical AI Paper Visibility Optimizer

Audits medical-AI papers, preprints and code releases with a visible PASS/FAIL checklist so AI search engines like Perplexity, Elicit and Consensus retrieve and cite them correctly.

Content & WritingAdvanced★ 316⑂ 75AI score 7/10Last updated: Sep 26, 2026

What it does

  • Checks LLM-extractable writing structure: three-slot titles, structured abstracts, quantified outcome sentences with confidence intervals, taxonomy lines, declarative headings.
  • Validates journal-specific summary boxes — Lancet 'Research in context', Radiology 'Key Points', npj Digital Medicine plain-language summaries — against format specs.
  • Tightens machine-readable citation hints: the 10-slot README order, CITATION.cff, Zenodo version DOIs, Hugging Face model and dataset cards, JSON-LD markup.
  • Confirms reporting-guideline anchors (TRIPOD+AI, CLAIM 2024, STARD-AI, DECIDE-AI) and adds DOI/PMID surfacing to defend against fabricated LLM citations.
  • Always outputs a PASS / PARTIAL / FAIL table plus at most 5 ranked edits instead of rewriting your text silently.

Who it's for

  • Medical-AI and radiology researchers, PhD students and clinical research teams.
  • Corresponding authors planning preprint and open-access strategy.
  • Research engineers releasing code, weights or datasets alongside a paper.

Examples

  1. "Audit this abstract for a Radiology submission" → flags keyword-stuffed title and missing confidence intervals, proposes replacement sentences.
  2. "Is our GitHub README and CITATION.cff discoverable by AI tools?" → lists missing README slots, DOI badges and a high-value FAQ section.
  3. "The paper was accepted — plan the first 30 days" → Day 0 / Day 1 / Week 1 / Month 1 launch and citation-monitoring sequence.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/Aperivue/medsci-skills/HEAD/skills/academic-aio/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/academic-aio folder from the GitHub repo Aperivue/medsci-skills into my ~/.claude/skills/academic-aio/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/Aperivue/medsci-skills.git && mkdir -p ~/.claude/skills && cp -r medsci-skills/skills/academic-aio ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repository: git clone https://github.com/Aperivue/medsci-skills.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy the whole skill folder so its references and scripts come along: cp -r medsci-skills/skills/academic-aio ~/.claude/skills/
  5. Restart Claude Code and trigger it with a request such as "Run an AIO audit on my abstract".
  6. python3 is required for the summary-box and schema validation scripts; verify that the references/ and scripts/ subfolders were copied.
View source on GitHub ↗License: MIT