Skill UI

A comprehensive guide for researchers to ensure network security findings are reproducible and verifiable. It covers techniques for freezing volatile environments (targets, networks, toolchains), anonymizing sensitive data traces, maintaining a detailed claims ledger, and ethically stating limitations.

A comprehensive checklist for confirming clinical ethics and research integrity required for academic submissions, adhering to standards set by the Declaration of Helsinki and ICMJE guidelines. It guides authors on securing IRB approval, obtaining informed consent, managing conflicts of interest, defining authorship roles, and ensuring data transparency through mandatory data-sharing statements. Essential for preparing manuscripts for high-impact medical journals.

This comprehensive guide outlines best practices for creating key clinical display items, including Table 1 (baseline characteristics), Kaplan-Meier curves, Forest Plots, and CONSORT diagrams. It emphasizes statistical rigor (e.g., using standardized differences instead of P values for baseline), ensuring numbers-at-risk, and maintaining consistency across all reporting elements for high-impact medical publications.

This skill rigorously stress-tests a clinical study's potential impact against the standards of top-tier medical journals (e.g., NEJM, Lancet, JAMA). It evaluates three critical gates: clinical importance (patient outcomes), methodological rigor (study design), and generalizability (broader applicability). Use this to determine if a study is merely incremental or if it genuinely sets a new standard of care, helping authors decide the best publication venue.

This guide details best practices for rigorous statistical reporting in clinical trials, following guidelines from top medical journals like NEJM. It emphasizes using confidence intervals (CIs) over bare P-values, defining primary analysis populations (ITT), controlling for multiplicity, and reporting absolute risks (NNT). It helps researchers ensure their findings are statistically robust, transparent, and defensible.

This tool provides a comprehensive checklist and rigor check for writing clinical studies for top-tier journals like NEJM. It emphasizes the mandatory requirements for prospective trial registration (ICMJE), pre-specification of Statistical Analysis Plans (SAP), and adherence to design principles (e.g., randomization, blinding, ITT). It helps authors identify critical methodological gaps before submission.

This comprehensive master checklist serves as the final gate before submitting clinical manuscripts to top-tier journals like NEJM. It verifies adherence to stringent requirements across significance, statistical rigor, reporting guidelines (e.g., CONSORT, PRISMA), ethical disclosures (ICMJE, data-sharing), and structural integrity. Use it to ensure nothing is missed.

A comprehensive guide for stress-testing the evidence supporting ML claims before submitting to top-tier academic conferences. Covers rigorous auditing of baselines, ablation studies, robustness checks, data leakage, and calibrating claims against evidence strength, ensuring scientific reproducibility.

A comprehensive guide for authors submitting to machine learning conferences like NeurIPS. It details the rigorous standards for data splitting, hyperparameter reporting, random-seed protocols, and compute transparency required for a main-track paper. It also helps authors strategically decide between the main track and the MLRC/TMLR routes based on their core contribution (replication vs. novelty).

This guide provides methodological standards for interpreting and reporting findings in New Media & Society research. It emphasizes analytical transparency, robustness, and credibility across qualitative, discourse, and computational methods, ensuring all inferences are rigorously defensive and fully traceable to the evidence.

Provides comprehensive guidelines for ethical handling, data transparency, and documentation in New Media & Society research. It covers crucial issues like informed consent, anonymization best practices, scraping legal constraints (ToS), and methods for making qualitative or computational claims credible, ensuring responsible data sharing and academic rigor.

A comprehensive guide for authors designing figures and tables for Nature Geoscience manuscripts. It outlines strict rules for adhering to a limited figure budget (4-6 display items), ensuring the lead figure immediately conveys the core Earth-system advance and its uncertainty, and maintaining high standards of cartography and data visualization for non-specialist readership.