Skill UI

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

This skill guides the implementation of dynamic secrets using HashiCorp Vault. It focuses on generating short-lived, ephemeral credentials for services like databases (PostgreSQL, MySQL), AWS IAM, and PKI certificates. By automating credential generation, lease management, and rotation, it eliminates the risk associated with storing long-lived static secrets, ensuring compliance with zero-trust security models (PCI-DSS, NIST).

This comprehensive guide details how to use industry-leading tools like TruffleHog and git-secrets to scan source code repositories, full git history, and configuration files for hardcoded AWS credentials and secrets. It is essential for integrating secrets detection into CI/CD pipelines, performing proactive security audits, and ensuring compliance by preventing sensitive keys from reaching production environments.

This skill details how to abuse the Windows DPAPI (Data Protection API) to extract and decrypt sensitive secrets protected by the OS. It covers multiple scenarios: online decryption (using the target user's context), offline decryption (requiring passwords or NTLM hashes), and advanced domain-wide decryption via the DPAPI backup key. Essential for red-teaming and post-exploitation activities to harvest credentials, browser logins, and Wi-Fi passwords.

A specialized, read-only tool designed for penetration testing and red teaming. It performs comprehensive enumeration across AWS and Azure, allowing users to build a deep situational awareness of an environment. Key functions include identifying internet-exposed endpoints, retrieving sensitive secrets, and mapping critical trust relationships (like sts:AssumeRole) necessary for planning lateral movement or privilege escalation.

Trivy is an open-source, comprehensive security scanner designed for DevSecOps. It assesses container images, Infrastructure-as-Code (Terraform, K8s), filesystems, and SBOMs for vulnerabilities (CVEs), misconfigurations, hardcoded secrets, and license compliance. It is essential for implementing 'shift-left' security gates in CI/CD pipelines, ensuring that code and infrastructure are secure before deployment.

Detailed methods for red-teaming and penetration testing of LLM applications. This skill extracts sensitive system prompts, secrets, and embedded logic using advanced techniques like jailbreaking, encoding tricks, and automated scanners (Garak, Promptfoo), ensuring compliance with OWASP LLM07:2025.

A specialized diagnostic skill designed to analyze failing GitHub Actions workflow logs. It identifies the root cause of crashes, such as missing secrets, environment mismatches, or deprecated syntax. The output provides precise YAML or code diffs required to fix the pipeline and optimize CI/CD processes.

This powerful utility automates the initial authentication process against a target website. It captures the resulting session cookies, sanitizes them rigorously using AIDefence to protect raw secrets, and then securely vaults a reusable cookie handle. This enables subsequent automation skills to seamlessly continue operations using the authenticated session context without needing to re-run the entire login flow.

This skill manages the secure transition of private internal projects to public open-source releases. It executes a three-stage pipeline: Forking (removing secrets), Sanitizing (verifying clean code), and Packaging (generating required documentation like README, setup.sh, and CLAUDE.md). It ensures code safety and readiness before public deployment.

This comprehensive guide covers security best practices for building robust Quarkus applications. It details how to implement secure authentication (JWT, OIDC), role-based authorization (RBAC), robust input validation (Bean Validation), and advanced protection against vulnerabilities like SQL injection and CSRF. Essential for securing resource access and managing application secrets.