Skill UI

This guide provides comprehensive best practices for authors submitting software-related papers to academic journals. It details how to ensure experimental results are fully reproducible and verifiable by peers, covering data/code availability, environment dependency fixing, random seed control, and proper artifact organization for submissions.

A comprehensive guide for submitting research artifacts to the MobiSys Artifact Evaluation Committee (AEC). It details the process for achieving three independent ACM badges (Available, Functional, Results Reproduced). Emphasis is placed on creating fully reproducible, script-first workflows, designing for hardware-optional environments, and maintaining strict anonymity during review.

A comprehensive guide for researchers submitting academic papers, detailing the standards required for scientific reproducibility. It covers fixing experimental environments (toolchains, datasets, hardware), differentiating result sources (simulation vs. physical measurement), statistical reporting best practices, and providing clear guidelines for code and data availability statements.

This guide outlines the rigorous process for submitting and evaluating research artifacts for academic conferences (TACAS/ETAPS). It details the mandatory two-round evaluation system, covering tool-demonstration papers and general research case studies. Authors must package their work to achieve badges like Available, Functional, and Reusable, ensuring maximum reproducibility and environmental compatibility on a clean virtual machine.

This skill establishes the root directory for a collaborative workshop, serving as a centralized project hub. It manages two distinct paths: using an existing local directory (Path A), or initializing a new private GitHub repository (Path B). It scaffolds the necessary structure—including `desks/`, `bench/`, and `CAIRN.md`—while strictly preserving existing work and preventing repository nesting. Ideal for standardizing project setup and maintaining collaboration standards.

A specialized framework for conducting non-Wi-Fi RF/SDR security research in controlled, authorized laboratory environments. Focuses on passive signal identification, protocol analysis (e.g., remote controls, ADS-B), and feasibility studies. Emphasizes strict legal compliance, requiring analysis to be performed only in shielded labs with explicit authorization, and defaults to receiving-only mode.