Skill UI

A comprehensive security auditing tool designed for Claude Code environments. It scans the entire configuration directory for security vulnerabilities, misconfigurations, injection risks, hardcoded secrets, and overly permissive settings. Ideal for initial project setup, pre-commit checks, or routine security hygiene.

This tool initializes a structured multi-agent swarm with built-in anti-drift configuration. It is designed for orchestrating complex, multi-file tasks that require coordinated efforts from three or more specialized AI agents, such as feature implementation, cross-module refactoring, or comprehensive security audits. It supports various topologies (hierarchical, mesh, etc.) to ensure robust and manageable parallel work execution across large teams.

Delegates coding, code review, and plan review tasks to OpenAI Codex CLI with sandbox controls and security boundaries. Supports autonomous execution, multiple modes, and safe review handling.

This comprehensive guide helps authors strategically position their computer security manuscripts for the ACM Conference on Computer and Communications Security (CCS). It details topic fit, required threat modeling, evidence presentation, and critical comparisons with sister venues (e.g., S&P, USENIX Security). It serves as a high-level 'fit/framing' tool for maximizing submission success in core areas like privacy, cryptography, and systems security.

A comprehensive guide for designing, auditing, and reporting security experiments for top-tier conferences like ACM CCS. It emphasizes moving beyond simple benchmarks by mapping every security claim to undeniable evidence, including exploit runs on named targets, overhead measurements, and evaluation against adaptive attackers. Used for rigorous academic research defense.

This guide details how to audit and position security research submissions for premier academic venues like CCS, S&P, USENIX, and NDSS. It teaches authors to structure their 'Related Work' section by comparing their novelty against the 'security big four,' specialist literature, and real-world practitioner records (such as CVEs and vendor advisories). The goal is to clearly articulate the technical delta and eligibility for publication.

A comprehensive guide for researchers detailing how to strengthen the reproducibility of security claims for top conferences like CCS. It covers mapping every security claim (attacks, defenses, measurements) to verifiable evidence, managing artifact availability when sharing is restricted, and defining the achievable degree of reproduction (Turnkey, Scripted, Descriptive). This ensures academic rigor and transparency in published security work.

A comprehensive guide for authors planning research submissions to top-tier academic security conferences like CCS. It details the two-cycle HotCRP workflow, decision criteria, and strategic advice on addressing threat model soundness, novelty, evidence quality, and crucial ethical disclosure concerns across all stages, from initial review to minor revision.

This guide details the structure and best practices for preparing supplementary appendices for security conference papers, particularly following the ACM CCS guidelines. It covers organizing formal proofs, ethics considerations, extended measurements, and ensuring double-blind anonymity, ensuring the main body remains clear while supporting complex research.

A comprehensive guide for authors submitting to top-tier security conferences like CCS. It provides rigorous rules on establishing explicit threat models, quantifying security claims with measurable evidence, structuring the core technical argument, and effectively compressing complex research into limited page limits. Essential for academic publication in the field of cybersecurity.

This guide details the comprehensive process for preparing security research artifacts for post-acceptance evaluation at major conferences like IEEE S&P. It covers the three types of evaluation badges (Available, Functional, Results Reproduced), strict handling constraints for exploits and malware, and best practices for packaging the submission (e.g., Dockerfiles, README structure) to ensure external evaluators can reliably reproduce findings within a limited time frame.

This guide provides rigorous standards for designing, validating, and reporting security research, particularly for high-stakes academic conferences like IEEE S&P. It covers critical areas including adaptive adversary modeling, measurement validity (sampling, ethics), statistical reporting, establishing strong baselines/ablations, and adhering to ethical constraints (IRB, authorization) to ensure evidence is robust and reproducible.