Skill UI

This specialized skill guides deep-dive analysis for binary-heavy challenges, including CTF, malware analysis, and advanced forensics. It covers reverse engineering binaries, unpacking samples, inspecting memory dumps, debugging crashes, and building exploit chains by correlating artifacts like files, memory, and network packets.

This advanced skill specializes in detecting and recovering hidden data (steganography) embedded within various media containers, including images, audio, video, and documents. It is crucial for forensic analysis and CTF challenges, allowing users to inspect metadata, LSBs, alpha/palette channels, and appended trailers to reconstruct hidden payloads without brute force.

This advanced skill specializes in tracing the complete provenance of software artifacts across the entire development lifecycle. It is designed for deep security analysis of CI/CD pipelines, identifying dependency drift, build tampering, package origin, and determining the final artifact consumed at runtime. Use it when investigating integrity vulnerabilities in complex release flows.

A specialized skill for analyzing complex, host-to-host lateral movement chains within a Windows environment. It focuses on tracing protocols like WinRM, SMB, and RDP, replaying captured Kerberos tickets, understanding privilege edges, and identifying the exact accepting service or host that facilitates credential movement. Used in advanced penetration testing and digital forensics scenarios.

This skill allows users to select and implement various compliance-aligned privacy policies (such as HIPAA Safe Harbor, GDPR pseudonymization, and PIPEDA) for robust de-identification. It manages complex policy profiles, ensuring data is masked, redacted, or pseudonymized according to specific legal requirements, while also supporting custom surrogate generators for advanced research needs.

This skill guides the creation of computable phenotypes and patient cohorts using the OHDSI/OMOP CDM standards. It allows users to define precise, executable criteria by combining standard concept sets (like PheKB) with advanced Natural Language Processing (NLP) features extracted from free clinical text. Use this when structured codes alone are insufficient to capture critical health information (e.g., symptoms, social context).

This tool de-identifies sensitive free-text columns (e.g., names, dates, identifiers) in local structured datasets (CSV, JSONL, Parquet) using advanced OpenMed models. It ensures strict privacy by generating a completely redacted dataset and a separate PHI-free aggregate summary, allowing for secure data sharing and analysis without compromising source privacy or logging sensitive values.

A comprehensive methodology for advanced red teaming and adversary emulation. This skill details how to bypass modern Endpoint Detection and Response (EDR) solutions (e.g., Defender, CrowdStrike, SentinelOne). Techniques include unhooking ntdll, utilizing indirect syscalls (Hell's Gate), patching ETW providers, and AMSI context blinding. Essential for authorized penetration testing and self-developed implant development, aligning with MITRE ATT&CK T1562.

This guide provides a systematic framework for authorized email security reviews. It covers advanced phishing analysis, including deep dives into email headers, assessing SPF/DKIM/DMARC compliance, identifying Business Email Compromise (BEC) patterns, and researching mailbox token abuse. It is essential for incident response, threat intelligence, and security architecture review.

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.

An advanced tool designed to audit, validate, and maintain rule files (e.g., .claude/rules/). It checks structural correctness, validates glob patterns against actual project files, and runs an interactive session to confirm or improve the relevance of each rule. Ideal for initial setup, debugging, or periodic rule hygiene.

A comprehensive skill for AI agents to perform advanced filesystem operations. It provides features for intelligent file listing with deep filtering, powerful content and pattern searching, safe batch file copying, and detailed directory analysis (statistics, tree visualization). Ideal for code analysis, system auditing, and managing project assets.