Skill UI

This skill provides a systematic methodology for investigating malware persistence mechanisms across Windows and Linux systems. It covers analyzing critical areas like the Windows Registry (SYSTEM, SOFTWARE, Run keys), Scheduled Tasks, and WMI artifacts. Use it during incident response, threat hunting, or digital forensics to ensure all unauthorized startup entries are found and remediated.

This skill details how to conduct comprehensive Operational Technology (OT) vulnerability assessments using platforms like Claroty xDome. It covers passive asset discovery, correlating vulnerabilities against CISA/ICS-CERT advisories, calculating risk scores, and prioritizing remediation based on operational impact and compliance standards (e.g., IEC 62443, NERC CIP). The provided workflow uses Python to manage asset inventory and vulnerability matching for highly regulated industrial environments.

This guide details the systematic process for reviewing high-privilege accounts, including Domain Admins, cloud IAM roles, and service accounts. It is a critical identity governance function designed to validate that users only retain the access they absolutely require, thereby enforcing the principle of least privilege. This review is mandatory for compliance frameworks like SOC 2, PCI DSS, and HIPAA, and involves discovery, validation, remediation, and continuous monitoring.

Provides a structured, comprehensive playbook for managing high-impact ransomware incidents. It guides the response team through initial detection, immediate network containment, detailed damage assessment, recovery decision making (including legal and financial considerations), and secure system restoration. Essential for cybersecurity teams facing active encryption attacks.

This skill details implementing Software Composition Analysis (SCA) using Snyk. It helps security teams detect known vulnerabilities, check license compliance, and automate dependency remediation within CI/CD pipelines. Learn to integrate scanning into GitHub, GitLab, and Jenkins workflows, generate automated fix PRs, and continuously monitor deployed applications to safeguard the software supply chain.

Guides teams through designing, implementing, and evidencing SOC 2 Type II controls aligned with the AICPA Trust Services Criteria, covering scoping, control mapping, evidence collection, remediation, and audit collaboration for a six- to twelve-month examination.

This comprehensive guide details a multi-step workflow for detecting and extracting covert data hidden within images, audio, and video files. It covers initial metadata analysis, running advanced steganalysis tools (like zsteg, binwalk, stegoveritas), and performing low-level analysis such as Least Significant Bit (LSB) analysis to uncover hidden communication channels used in digital forensics and cybersecurity investigations.

This comprehensive guide details the process of performing authenticated and unauthenticated vulnerability assessments using Tenable Nessus. It covers everything from advanced scan configuration (port discovery, credentialing, plugin setup) to detailed result analysis, including cross-referencing CVEs and prioritizing remediation based on CVSS scores and exploit availability. Ideal for compliance auditing, penetration testing, and maintaining system patch compliance.

This guide provides a comprehensive workflow for recovering deleted files from forensic disk images and storage media. Utilizing PhotoRec and file signature carving techniques, it addresses scenarios where file systems are corrupted, formatted, or metadata is unavailable. The process includes setup, running the recovery tool in both interactive and command-line modes, and advanced steps for organizing, hashing, and validating file integrity.

This skill provides comprehensive procedures for identifying and remediating Amazon S3 bucket misconfigurations. It covers enabling Block Public Access settings, auditing policies and ACLs, enforcing default encryption (KMS/AES), and utilizing AWS Config/Lambda for automated remediation. It is essential for maintaining data compliance and responding to security incidents.

This skill automates the entire academic research lifecycle. It orchestrates stages from broad idea discovery and literature review to experimental implementation, rigorous cross-model review, and finally, generating a polished research paper PDF. Ideal for researchers needing an end-to-end, autonomous workflow for academic publication preparation.

Get a deep, multi-round, and adversarial critical review of your research work, ideas, or drafts. This skill simulates the perspective of a senior ML reviewer (e.g., NeurIPS/ICML level) using dedicated external backends (Codex or Manual). It is designed to find logical gaps, missing experiments, and narrative weaknesses, providing brutal honesty to elevate your academic contribution.