Skill UI

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.

This skill provides a comprehensive framework for security auditing LLM agents that possess external tools (file system access, command execution, network calls). It employs advanced dialogue probing techniques—such as command injection, path traversal, and SSRF attempts—to identify vulnerabilities where the agent might be induced to execute unexpected or malicious code, or access sensitive resources. Essential for red teaming and securing agent functionalities.

This skill provides enterprise-grade Role-Based Access Control (RBAC) patterns specifically for Veeva Vault deployments in regulated environments. It guides developers on implementing advanced features while maintaining strict compliance standards. Key considerations include validating API changes against compliance requirements, utilizing VQL for efficient data retrieval, and managing security profiles for robust access control.

Provides a comprehensive checklist and technical guidelines for safely deploying Webflow Data API integrations to a production environment. Covers critical areas like token security, rate limit management, implementing circuit breakers, setting up health checks, and handling various API errors to ensure reliable, high-availability service.

This guide details comprehensive security best practices for Webflow Data API v2. It covers crucial topics such as selecting the correct token type, implementing least privilege access scopes, secure secret rotation, and verifying webhook signatures. Use this knowledge when building or auditing Webflow integrations to ensure robust data security and system reliability.

This guide provides comprehensive security and integration details for the Workhuman Social Recognition and rewards API. Learn how to implement OAuth 2.0, manage peer-to-peer nominations, and sync data bidirectionally with major HRIS platforms like Workday and SAP SuccessFactors. Use cases include building custom recognition workflows and integrating with popular tools like Microsoft Teams and Slack.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.

Logic Lens is an advanced AI skill that performs deep, formal logic-driven code review. Unlike standard linters, it analyzes code for complex issues like race conditions, security vulnerabilities (SQL injection, XSS), type safety flaws, and algorithmic errors across 9 critical risk categories. It is ideal for pre-merge PR reviews, auditing sensitive code paths, and refactoring complex business logic.

A comprehensive toolset for Go developers to generate accurate and complete OpenAPI/Swagger documentation. It utilizes annotation comments (@Summary, @Param, @Security, etc.) to define API contracts, making the Swagger UI the source of truth. Supports various popular Go frameworks (Gin, Echo, Fiber, net/http) and handles complex security definitions like JWT, Bearer, and OAuth2, ensuring maintainable and standardized API documentation.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

A hands-on methodology for testing IoT and embedded devices, covering hardware reconnaissance, firmware extraction and analysis, bootloader access, runtime exploitation, wireless protocol attacks, companion app review, and cloud API abuse.

A comprehensive playbook detailing advanced techniques for exploiting misconfigured Active Directory Access Control Lists (ACLs). It covers BloodHound enumeration, abusing dangerous ACE types (GenericAll, WriteDACL), conducting DCSync attacks, leveraging shadow credentials, and exploiting GPO/LAPS weaknesses for privilege escalation and lateral movement in a deep dive for security professionals.