Skill UI

This advanced GEO-first tool performs comprehensive audits designed for the modern AI search landscape (ChatGPT, Gemini, Google AI Overviews). It moves beyond traditional SEO, assessing citability scoring, E-E-A-T, technical foundations, structured data validation, and brand authority signals. It provides actionable, client-ready reports to ensure maximum visibility in AI-driven search traffic.

A comprehensive skill for assessing mobile applications (Android and iOS) for vulnerabilities related to deep links, custom URI schemes, and intent handling. This skill identifies risks such as unauthorized access, data injection, intent hijacking, and improper validation of App Links or Universal Links, crucial for robust mobile security testing.

This guide details how to implement robust API schema validation using OpenAPI Specification (OAS) and JSON Schema. It enforces strict input/output contracts, preventing critical vulnerabilities such as injection attacks (SQLi, XSS), data leakage, and mass assignment by validating data types and structure at the API gateway or development level.

This skill is designed for implementing and managing user verification workflows within a Laravel PHP framework. It facilitates processes such as email confirmation, password reset validation, and ensuring data integrity for secure application access. It is essential for robust web backend development.

This skill provides a systematic framework for managing Indicators of Compromise (IOCs) throughout their entire life cycle—from initial discovery and validation to enrichment, deployment, monitoring, and eventual retirement. It emphasizes implementing confidence decay functions, tracking hit rates, and managing false positives to maintain a high-quality, actionable threat intelligence database, thereby minimizing analyst fatigue and maximizing detection efficacy.

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

This skill leverages the VirusTotal API to perform comprehensive threat intelligence enrichment on file hashes (MD5, SHA-1, SHA-256). It retrieves detection rates from 70+ AV engines, behavioral sandbox reports, associated indicators of compromise (IOCs), and contextual threat data. Use this tool for rapid SOC triage, accurate incident response validation, and enhancing threat hunting workflows.

This skill provides a comprehensive guide and methodology for identifying and exploiting Cross-Origin Resource Sharing (CORS) misconfigurations in web applications. It covers testing origin validation bypasses, analyzing preflight requests, and simulating data exfiltration during authorized penetration tests, crucial for assessing API security.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

This framework implements robust input and output validation guardrails for LLM-powered applications. It prevents prompt injection, detects and redacts PII, filters toxic content, and validates model outputs against defined schemas. Use it when deploying AI agents that handle sensitive data or require strict adherence to corporate policies, ensuring a secure and trustworthy AI interaction layer.

This skill provides a comprehensive framework for validating backup reliability. It automates processes like cryptographic hash verification, running simulated restores to isolated environments, detecting silent data corruption (bit rot), and scanning for ransomware indicators. Use it before relying on backups during a major incident or ransomware attack to ensure data recoverability and compliance.

A placeholder skill entry that explains the lack of a YAML frontmatter, useful for tracking or validation workflows that detect missing metadata.