Skill UI

A comprehensive utility designed to manage and automate the safe migration of applications using the Apollo.io API. It guides developers through auditing current API usage, identifying deprecated endpoints and authentication methods, and implementing feature-flagged changes. Key features include generating migration maps and running shadow tests for parallel comparison between old and new API versions, ensuring zero downtime during major system upgrades.

A powerful tool for comprehensive, offline dependency auditing across 8+ programming ecosystems (e.g., Node, Python, Go, Rust). It identifies critical CVE vulnerabilities, license conflicts, and calculates safe upgrade paths, making it essential for pre-release security checks, legal compliance reviews, and major version migrations.

A comprehensive checklist for ensuring LangChain applications are robust, secure, and scalable for production environments. It covers critical areas including configuration management, advanced error handling, observability setup (e.g., LangSmith), performance optimization, security best practices (like prompt injection prevention and PII handling), rigorous testing, and zero-downtime deployment strategies. Use this guide when preparing for a major launch or auditing existing LLM systems.

This comprehensive guide outlines essential security best practices for implementing and using Lindy AI agents. It covers crucial topics such as robust API key management, webhook signature verification, strict agent permission scoping, and secure data handling protocols. Use this resource when auditing agent activity, configuring enterprise security features (SSO/SCIM), or ensuring compliance and minimizing the attack surface area of autonomous AI systems.

This comprehensive checklist provides best practices and patterns for deploying Linear integrations to a production environment. It covers critical areas including robust authentication and secure secret management, error handling and system resilience (rate limiting, timeouts), performance optimization (caching, batching), and setting up full observability (health checks, structured logging). Use this when preparing for a go-live or auditing existing deployments.

This guide details how to implement Role-Based Access Control (RBAC) and comprehensive workspace management for Mistral AI at the enterprise level. It covers creating scoped API keys, setting resource limitations (rate limits, model access), enforcing spending budgets, key auditing, and automating key rotation. It is essential for large organizations requiring strict governance, security, and cost control when integrating Mistral AI into production systems.

This guide details implementing robust Role-Based Access Control (RBAC) within a PostHog Enterprise environment. It covers managing the three-level hierarchy (Organization > Project > Resource), assigning granular member roles (Owner, Admin, Member), configuring scoped API keys for secure integrations, and enforcing enterprise-grade authentication via SSO/SAML. Includes steps for setting up project permissions and auditing system changes.

A comprehensive meta-skill for validating, testing, and scoring the quality of technical skills within an ecosystem. It performs deep structural checks (SKILL.md compliance), executes Python scripts for syntax, runtime, and output validation, and generates multi-dimensional quality scores using letter grades and tier recommendations. Ideal for new skill authorship, auditing existing components, or integrating rigorous QA gates into CI/CD pipelines.

This skill provides a structured approach to systematically identify security threats by applying the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It is crucial for conducting thorough threat modeling sessions, analyzing system architectures, reviewing security design decisions, and creating robust security documentation for compliance and auditing purposes.

This comprehensive workflow guides users through a multi-phase process for assessing web application security. It is designed to systematically test for common vulnerabilities listed in the OWASP Top 10, including SQL injection, XSS, broken authentication, and access control issues. Ideal for professional penetration testing, security auditing, and bug bounty hunting.

Performs static security analysis on GitHub Actions workflows that incorporate AI coding agents (e.g., Claude, Gemini, OpenAI). This skill helps identify critical data flow vulnerabilities, such as where attacker-controlled input can reach AI agent prompts or internal systems via CI/CD pipelines, going beyond simple expression checks.

This skill establishes a rigorous framework for building deep architectural context by performing ultra-granular, line-by-line analysis of code. It applies methodologies like First Principles and 5 Whys to maintain a stable, evolving mental model of the entire system, making it essential for pre-vulnerability security auditing, threat modeling, and complex architecture reviews.