Does it actually detect AI-generated content?

Yes, it includes a dedicated phase that runs an AI-check skill to flag sections with high probability of LLM-generated patterns and generates an authenticity report.

Does it check for retracted papers?

Yes, the citation audit phase verifies reference integrity, checks for retracted papers, and validates DOIs to ensure the reliability of your bibliography.

Which reporting guidelines does this skill support?

It validates compliance for major reporting standards including CONSORT for RCTs, PRISMA for systematic reviews, and STROBE for observational studies.

What kind of output does the skill provide?

It generates a comprehensive review report featuring an executive summary, section-by-section findings, a priority-ranked revision checklist, and detailed appendices.

Can I use this for my dissertation?

Absolutely. It is designed to help researchers ensure their methodology, citations, and statistical reporting are up to professional publication standards for committees and journals.

Paper Reviewer

Name: Paper Reviewer
Author: astoreyai

byastoreyai

•

Data Science & ML

Conducts comprehensive pre-submission reviews for journal manuscripts, orchestrating statistical validation, bias detection, and compliance checks.

The Paper Reviewer skill is an advanced research orchestration tool designed to prepare academic manuscripts for journal submission by automating rigorous quality control checks. It systematically evaluates papers through an eight-phase pipeline, covering everything from AI text detection and methodology assessment to statistical validation and reporting guideline compliance (such as CONSORT, PRISMA, or STROBE). By integrating specialized sub-skills for risk-of-bias assessment and citation integrity, it provides researchers with a detailed revision checklist and a readiness report, helping to ensure higher submission quality and reduce the likelihood of desk rejection.

Key Features

01Advanced bias detection using RoB 2, ROBINS-I, and QUADAS-2 frameworks

021 GitHub stars

03Statistical validation of power analysis, effect sizes, and assumption testing

04Automated reporting compliance checks for CONSORT, PRISMA, and STROBE guidelines

05AI-generated text detection with section-by-section authenticity reporting

06Citation integrity audits and reproducibility checks for data and code availability

Use Cases

01Final quality assurance for systematic reviews or randomized controlled trials prior to journal submission

02Preparing doctoral dissertation chapters for committee review and peer-reviewed publication

03Standardizing internal review processes for research labs to ensure methodology rigor across all manuscripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add astoreyai/claude-skills paper-reviewer

For use in Claude.ai and ChatGPT

Download Skill