Skill UI

This example demonstrates unsafe or malicious review data inputs, specifically designed for calibration and security testing. It simulates prompt injection attacks and must only be used in controlled environments to validate secure data processing and system robustness.

A comprehensive guide for designing and presenting rigorous experiments and simulations for top-tier journals in Control Theory, Robotics, and Smart Systems. Covers RQ-driven design, establishing fair baselines, providing theoretical proofs of stability/convergence, performing ablation studies, and ensuring statistical significance, helping authors build an undeniable evidence chain for double-blind external review.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This guide provides a comprehensive framework for revising Communication Research (CR) manuscripts following a revise-and-resubmit (R&R). It addresses the core challenge of satisfying two independent, often skeptical, expert reviewers simultaneously—specifically concerning measurement validity, tested mechanisms, and confound control—all while adhering to strict page limits. It focuses on strategic revision planning, managing the page budget, and structuring the response memo.

This guide provides a comprehensive checklist for auditing experimental rigor in chemical manuscripts, particularly for high-impact journals like JACS. It covers necessary characterization data for new compounds, including NMR, HRMS, elemental analysis, and stereochemistry, and ensures mechanisms and catalytic claims are fully supported by appropriate controls and data.

This comprehensive guide details how to build a robust, credible, and shareable replication package for a Journal of Economic Geography (JEG) manuscript. It focuses heavily on documenting spatial data provenance, handling version control for boundaries and projections, and scripting complex spatial joins to preempt reproducibility concerns, even though JEG's policy is post-acceptance.

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 detailing the high standards required for presenting security evidence at major conferences. It covers methodologies for proving claims—including attacks, defenses, and detection systems—across live internet measurements, controlled testbeds, and emulation. Key requirements include adaptive adversary modeling, rigorous measurement hygiene, and adherence to ethical review protocols to ensure results are reproducible and relevant to real-world networks.

A comprehensive guide for theoretical computer science authors on converting an accepted paper into two distinct, public deliverables: a concise, citable proceedings version (extended abstract) and a comprehensive, full version for public preprint servers like arXiv. Details the formatting, copyright requirements, version control, and post-publication hygiene necessary for academic publishing.

This SDK allows asynchronous Python programming to control a live web browser, simulating user interactions for web automation, testing, and data extraction. Users can navigate pages, locate elements, fill forms, click buttons, and capture snapshots of the current page's content. It enforces a 'perceive → act → verify' cycle, making it ideal for building robust web scrapers and end-to-end testing tools.

A specialized downstream skill for CTF-sandbox workflows. Used to analyze complex security challenges driven by AI agent interactions, prompt injection, or infrastructure vulnerabilities. Focuses on tracing control chains involving untrusted input, tool side effects, deployment drift, container runtime issues, and CI/CD supply chain provenance. Ideal for rigorous vulnerability assessment in modern, distributed systems.

The Diagram Generator converts complex, unstructured inputs—such as natural language, code snippets, schemas, and notes—into professional, editable visual diagrams. It supports diverse standards including Mermaid, PlantUML, and Graphviz, enabling the creation of flowcharts, sequence diagrams, UML models, ER diagrams, architecture maps, and more. Outputs are designed to be reviewable, version-controllable, and highly precise.