Skill UI

This skill automates the monitoring of public paste sites (e.g., Pastebin, GitHub Gists) to detect leaked credentials, API keys, and sensitive data dumps. It employs advanced regex patterns and keyword matching to provide early warning of security breaches, crucial for incident response, vulnerability assessment, and threat intelligence gathering.

A comprehensive guide to conducting security assessments on thick client (desktop) applications. This skill details techniques ranging from static analysis (using tools like dnSpy, IDA Pro) to dynamic analysis (process monitoring with Procmon, network interception via Burp Suite). It covers finding hardcoded credentials, identifying insecure local storage, mitigating DLL hijacking, and analyzing memory manipulation within local applications.

This skill provides a comprehensive guide to hardening managed Kubernetes clusters on major cloud platforms (EKS, AKS, GKE). It details implementing critical security layers, including Pod Security Standards, least-privilege network policies, workload identity (eliminating static cloud credentials), and runtime security monitoring. Essential for securing production environments and meeting compliance requirements.

This skill provides comprehensive management capabilities for AI Integrations within the Arize platform. Users can create, list, retrieve, and update credentials for various Large Language Model (LLM) providers, including OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Vertex AI. These integrations are crucial for enabling Arize's advanced monitoring and evaluation features that require invoking external LLMs.

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.

Facilitates the secure deployment of Adobe-powered applications across multiple modern cloud environments, including Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder. This integration manages complex OAuth credential injection and sets up health monitoring endpoints, making it ideal for moving Adobe API integrations into production systems.

A comprehensive, step-by-step checklist for safely deploying Adobe API integrations (including Firefly, PDF Services, and I/O Events) to a production environment. It covers prerequisite checks, credential security, health monitoring, gradual canary rollouts, error handling, and immediate rollback procedures to ensure maximum system stability and reliability.

A comprehensive checklist for deploying Foundry-integrated applications to a production environment. It guides users through critical go-live procedures, covering pre-deployment credential management, rigorous code quality checks, setting up robust monitoring and alerting systems, and executing safe rollout and rollback strategies. Essential for ensuring system stability during major releases.

This framework provides comprehensive detection capabilities for compromised cloud credentials across major platforms including AWS, Azure, and GCP. It analyzes critical threat indicators such as anomalous API activity, impossible travel patterns (impossible login locations), and unauthorized resource provisioning. Designed for incident response, security monitoring, and building robust detection rules to mitigate account takeover and credential abuse.

A comprehensive skill for monitoring dark web forums, marketplaces, and leak sites to detect mentions of organizational assets, leaked credentials, and ongoing threat actor activities. Used for proactive threat intelligence gathering, incident response enrichment, and establishing continuous dark web OSINT coverage.

Automated system designed to monitor paste sites (e.g., Pastebin, GitHub Gists) for leaked credentials, API keys, and sensitive data dumps. It uses advanced scraping, keyword matching, and regex patterns to provide early detection of data breaches and security incidents.