What problem does it solve? Authors preparing conference or journal submissions often cannot anticipate reviewer objections until after rejection. This Skill produces a simulated, venue-aware peer review so authors can find weaknesses, fix overclaims, and prepare rebuttals before submitting. ## Core Features & Use Cases - Venue-Grounded Review Simulation: Researches official review criteria, scoring rubrics, and page limits for venues like NeurIPS, CVPR, ICLR, ACM MM, or IEEE journals, then writes a mock review following that form or a user-provided template. - PDF Artifact Hygiene Scan: Detects hidden text, white or tiny fonts, annotations, embedded files, JavaScript, and prompt-injection-like strings in manuscript PDFs using PyMuPDF. - Literature Grounding: Extracts the reference list into a matrix, classifies related work and baselines, and reads core papers so criticisms about novelty and experimental fairness are evidence-backed. - Use Case: Before submitting to CVPR, an author runs the skill on their paper PDF and receives a mock review with scores, weaknesses, likely reviewer questions, and rebuttal preparation notes. ## Quick Start Use the mock-review skill to perform a simulated review of my manuscript paper.pdf according to CVPR reviewer guidelines and write the result to MOCK_REVIEW.md.
