Skill UI

This comprehensive guide outlines best practices for securing Granola meeting data. It covers critical compliance standards, including SOC 2 and GDPR, and details technical controls such as AES-256 encryption, TLS 1.3 transmission, and robust configuration of SSO and data retention policies for enterprise use.

A comprehensive toolkit using Splunk's SPL language to analyze Windows Security, System, and Sysmon event logs. It maps advanced detection queries to specific MITRE ATT&CK techniques, enabling SOC analysts to investigate authentication attacks (e.g., brute force, password spraying), detect privilege escalation, locate persistence mechanisms, and trace lateral movement for detailed forensic timeline analysis.

A CLI-based skill for managing Lark Mail, allowing users to draft, send, reply, forward, read, and search emails, manage folders, labels, contacts, and mail rules with security protections.

A comprehensive framework for establishing governance standards across Notion integrations. It enforces naming conventions for bots, manages page sharing policies to prevent data leaks, validates database schemas (e.g., required property naming, date formats), and provides access audit scripts. Ideal for maintaining consistency and security in large, multi-team Notion environments.

This skill provides specialized internal auditing capabilities for ISO/IEC 42001:2023 AIMS. It helps compliance teams assess gaps across Clauses 4-10, build comprehensive AI risk registers with control mapping, and plan structured internal audits (Clause 9.2). Ideal for pre-certification readiness, scoping internal audit cycles, or integrating AI systems into existing quality/security management systems (ISMS/QMS).

This tool provides a structured way to run predefined, periodic background workers (e.g., security audits, performance optimization, memory consolidation). It utilizes native scheduling mechanisms to automatically dispatch and re-schedule tasks within a session, ensuring continuous system maintenance and optimal performance monitoring.

A comprehensive model detailing the rigorous, multi-stage peer review cycle for top-tier security conferences like IEEE S&P. It covers every phase, from initial submission and first-round screening to the three-way decision (Accept/Revise/Reject), ethical committee review, and post-acceptance shepherding. Ideal for authors needing to understand the structural constraints and adversarial nature of academic publishing.

This comprehensive guide provides a structured workflow for academic submissions to the NDSS security symposium. It maps out the distinct summer and fall submission cycles, detailing critical milestones from the initial paper deadline through early-reject, rebuttal, notification, and final camera-ready stages. It emphasizes strategic backward planning, managing the sensitive disclosure clock for vulnerabilities, and positioning research within the broader security research lifecycle.

This skill helps authors assess the fit of their manuscripts for the journal Studies in Labor Economics. It analyzes whether the research theme, methodology, and contribution align with core labor economics topics (e.g., wages, employment, skills, social security). It provides detailed guidelines on structuring, required evidence, and potential revision directions before formal submission.

This comprehensive guide details the academic submission lifecycle for USENIX Security. It maps out the multi-stage review pipeline, from initial submission through early rejection to final notification. It critically updates authors on the current decision vocabulary (e.g., Shepherd Approval, retired major revisions), emphasizing mandatory review foci like ethics adequacy, threat-model realism, and openness posture for strategic planning.

This comprehensive guide outlines the rigorous, multi-stage submission process for USENIX Security Symposium papers. It covers mandatory formatting rules, including the 13-page main body and required appendices for Ethical Considerations and Open Science. The guide also details critical steps for maintaining double-blind anonymity, managing complex HotCRP deadlines, and avoiding early rejection pitfalls.