Skill UI

This guide details the methodology and tools for conducting authorized privilege escalation assessments within AWS environments. It systematically utilizes specialized tools like Pacu and Principal Mapper (PMapper) to identify critical IAM misconfigurations, excessive permissions, and weak cross-account trust relationships. It is essential for validating the principle of least privilege and assessing the potential blast radius of compromised credentials during authorized penetration testing.

A comprehensive guide for performing authorized security assessments on GraphQL APIs. This skill covers key areas such as endpoint discovery, schema introspection, testing for authorization flaws (BOLA/BFLA), injection vulnerabilities (SQL/NoSQL), and denial-of-service risks. Essential for penetration testers and bug bounty researchers targeting modern web applications.

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 guide provides a deep dive into hardening AWS Identity and Access Management (IAM) configurations. It teaches advanced security practices, including enforcing the principle of least privilege, defining granular policy scopes, implementing permission boundaries, and leveraging Access Analyzer to ensure continuous compliance and minimize the blast radius of security breaches.

A comprehensive guide to implementing least-privilege security for AWS Lambda execution roles. It details the process of auditing existing permissions, analyzing actual API usage via CloudTrail and IAM Access Analyzer, creating narrowly scoped IAM policies, and enforcing strict permission boundaries (SCPs) to eliminate over-privileging and minimize the blast radius.

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 security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

Assesses organizational readiness for migrating cryptographic systems to post-quantum standards (PQC), aligning with NIST guidelines. The tool performs comprehensive cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA) and evaluates the feasibility of implementing hybrid TLS configurations using standards like ML-KEM and ML-DSA. Essential for implementing crypto-agility across enterprise infrastructure.

This skill provides a comprehensive framework for simulating and testing disaster recovery plans against ransomware threats. It guides users through measuring Recovery Time Objective (RTO) and Recovery Point Objective (RPO), validating clean backup restores, and hardening security controls to ensure organizational resilience. It is designed for tabletop exercises and compliance auditing, not for active incident response.

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.

This guide provides a detailed template and directive for generating machine-readable, deterministic implementation plans. It is designed for complex software development tasks, such as adding new features, refactoring existing code, or designing system architecture. The output ensures that all steps are atomic, measurable, and structured for autonomous execution by AI agents or human teams, minimizing ambiguity and dependency.

Provides remote access and management for complex, autonomous laboratory protocols executed on Reconfigurable Automation Carts (RACs). Users can submit and manage protocols for cell-free protein expression (validation/optimization), generate fluorescent pixel art, or utilize the EstiMate AI agent for custom workflow feasibility assessments. Covers the entire lifecycle from protocol selection to final sample delivery.