Skill UI

Automates AWS IAM role generation by guiding requests, applying best practices, and producing production-ready code/configs with validation for compute, storage, networking, and serverless workloads.

Automates integrating secrets managers like HashiCorp Vault and AWS Secrets Manager by producing secure configurations, IAM policies, and deployment guidance so you can manage sensitive credentials in DevOps workflows with best practices.

Acts as a specialized System Engineer responsible for designing, drafting, and deploying new functional skills into a repository. It ensures that all new skills strictly adhere to the Diamond Standard and follow rigorous deployment protocols, generating necessary documentation (READMEs) and registry entries.

This comprehensive guide details how to set up and configure AWS Machine Capability Platform (MCP) servers for advanced AI agent use. It provides two options: a Full AWS MCP Server (for API calls and documentation search) and a basic AWS Documentation MCP (for documentation search only). Instructions cover prerequisites, configuration methods (via JSON settings), necessary IAM permissions, and troubleshooting tips for seamless integration of AWS services into AI workflows.

Systematically evaluates cyber-campaign evidence to attribute a cyber operation to a specific threat actor. This skill utilizes advanced analytical frameworks like the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh multiple indicators, including infrastructure overlaps, TTP consistency, malware similarity, and operational patterns, providing confidence-weighted attribution assessments for incident response.

A comprehensive guide and script collection for auditing Google Cloud Platform IAM permissions. It helps identify overly permissive bindings, unused service accounts, primitive role usage, and cross-project access risks. It utilizes gcloud CLI, Policy Analyzer, and IAM Recommender to ensure compliance and minimize the blast radius of misconfigurations.

This guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

Guide for assessing AWS, Azure, and GCP environments with tools such as Pacu, ScoutSuite, and Prowler to uncover IAM weaknesses, exposed storage, insecure serverless functions, and cloud-native attack chains.

A comprehensive guide covering methodologies for conducting authorized penetration testing across major cloud platforms, including AWS, Azure, and GCP. It details the shared responsibility model, techniques for exploiting IAM misconfigurations, testing for SSRF vulnerabilities to cloud metadata services, and utilizing industry tools like Pacu and ScoutSuite. Findings are mapped to the MITRE ATT&CK Cloud matrix for robust reporting.

AWS Verified Access is a Zero Trust Network Access (ZTNA) service that provides secure, VPN-less access to internal applications. It uses granular Cedar policies to evaluate user identity (integrating with Okta, IAM Identity Center) and device security posture (CrowdStrike, Jamf) in real-time. Use this guide when replacing traditional VPNs, enforcing strict conditional access controls, or deploying multi-account Verified Access infrastructure across AWS.

This skill analyzes AWS IAM policies using boto3 and Cloudsplaining principles to detect potential privilege escalation paths in AWS accounts. It identifies overly permissive policies, dangerous permission combinations (such as combining role passing and resource creation), and violations of least-privilege principles. It is designed for security incident investigation, threat hunting, and validating overall cloud security posture.

Structures completed intrusion investigations with the Diamond Model by documenting adversaries, capabilities, infrastructure, and victims plus their relationships, metadata, and pivots to cluster incidents and support campaign attribution, confidence scoring, and analytic write-ups.