Skill UI

A comprehensive checklist detailing the final pre-submission steps for Social Psychology Quarterly (SPQ) via SageTrack/ScholarOne Manuscript Central. It guides authors through masking, ASA style compliance, abstract formatting, and fee verification to ensure the manuscript meets all journal requirements and avoids temporary rejection.

This comprehensive guide outlines the rigorous, multi-step process required for authors to finalize and submit their accepted papers for VLDB proceedings. It covers essential technical compliance points, including using the correct volume template, ensuring PDF/A compliance with embedded fonts, adhering to figure legibility rules, and detailing the permanent storage of research artifacts (DOI-backed). It also outlines the associated conference presentation obligations.

This workflow performs a comprehensive review against the Azure Well-Architected Framework (WAF) using your existing Infrastructure as Code (IaC) and deployed resources. It systematically checks the five pillars—Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency—identifying architectural risks, drift, and compliance gaps. Findings are automatically logged and converted into actionable GitHub issues for streamlined remediation.

Generates a signed, reproducible, and non-PHI audit trail for de-identification processes. This skill provides compliance evidence, including offsets, content hashes, and model provenance, enabling users to verify that sensitive identifiers were correctly redacted for HIPAA/GDPR audits without exposing any plaintext PHI. It is crucial for defensible data handling.

This skill provides a comprehensive checklist for auditing de-identified Protected Health Information (PHI) against the 18 categories required by HIPAA Safe Harbor (45 CFR 164.514(b)(2)). It maps detected PII entities to these categories, identifies gaps (e.g., age > 89, rare geography), and guides the assessment of residual re-identification risk. This is essential for proving the completeness and compliance of de-identification efforts.

This skill implements a comprehensive logging guard to prevent Protected Health Information (PHI) leakage into logs, traces, and error reports. It acts as a pre-emission filter, redacting structured identifiers (SSN, email, phone) via regex and handling free-text PHI using advanced models. Essential for maintaining strict data privacy and compliance when shipping logs to centralized stores or error trackers.

Performs comprehensive, two-layer validation on generated plans. Layer 1 executes instant structural checks (format, dependencies, compliance) while Layer 2 triggers specialist agents (e.g., security, DB, performance) based on plan content. The system forces resolution of all identified issues before allowing execution, supporting auto-fixes and guided human input.

Comprehensive skill for FedRAMP certification and compliance under CR26. Covers authorization paths, Certification Classes A-D, SSP/SAP/SAR/POA&M documentation, NIST SP 800-53 control mapping, FedRAMP 20x, OSCAL mandate, 3PAO assessments, continuous monitoring, and gap assessments. Ideal for cloud service providers and security teams navigating federal cloud authorization.

This skill conducts comprehensive governance, legal, and risk reviews for AI use cases. It assesses internal deployments, product features, and third-party vendors against best practices, privacy laws, and corporate policies. It guides users through structured intake, identifies compliance gaps, and generates formal review reports, scorecards, and remediation plans.

This specialized skill serves as an expert advisor for defense contractors and subcontractors operating in the US Defense Industrial Base (DIB). It provides comprehensive guidance on CMMC 2.0, NIST SP 800-171, CUI protection, and compliance with DFARS clauses. Use it for gap assessments, drafting Security System Plans (SSP), creating Plans of Action & Milestones (POA&M), and navigating the complex requirements for DoD cybersecurity compliance across all three CMMC levels.

A deterministic gate used to validate the integrity of citations within academic papers. It compares a required integer citation count against the machine-readable summary map. The gate blocks the process if the number of distinct cited keys falls below the target, or if any citation entry is flagged as invalid or weak, ensuring high quality and compliance.

This advanced skill performs server-enforced security and privacy reviews for applications, including those rapidly developed with AI agents. It implements comprehensive models like STRIDE (security) and LINDDUN (privacy), screens dependencies against live CVE/CISA data, and evaluates applicability of major EU regulations (GDPR, AI Act, NIS2). The output is a formal, auditable compliance report, never a simulated chat response or legal verdict.