Skill UI

A comprehensive skill for fine-tuning and training large language and vision models using advanced techniques like TRL (SFT, DPO, GRPO) or Unsloth. This process runs entirely on managed Hugging Face cloud GPUs, eliminating the need for local GPU setup. It supports modern training workflows, model conversion (GGUF for local deployment), and ensures seamless artifact storage to the Hugging Face Hub.

Detects abnormal access patterns across major cloud storage platforms, including AWS S3, GCS, and Azure Blob Storage. By analyzing cloud audit logs (CloudTrail, etc.), this tool identifies critical security threats such as after-hours bulk data downloads, sudden spikes in API calls (GetObject spikes), access from new geographic IPs, and potential data exfiltration. It utilizes statistical baselines and time-series anomaly detection for proactive threat hunting and security incident investigation.

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 for conducting penetration testing on iOS and Android mobile applications, adhering to the OWASP MASTG. This skill covers the full mobile attack surface, including static analysis of binaries, dynamic runtime testing, and deep API security assessment. Techniques taught include bypassing certificate pinning, analyzing local data storage (Keychain, SQLite), and identifying vulnerabilities in authentication and network communication.

Guide for performing Android and iOS mobile application penetration testing with OWASP MASTG/MASVS, covering static/dynamic analysis, data storage checks, API abuse, and runtime manipulation using Frida, Objection, and MobSF.

This skill provides a comprehensive guide to configuring Hardware Security Modules (HSMs) using the industry-standard PKCS#11 interface. It details best practices for key generation, secure key storage, and cryptographic operations (signing, encryption, decryption). Learn how to manage keys in a tamper-resistant environment, ensuring private keys never leave the device boundary. Applicable for building compliance-grade security architectures across finance and government sectors.

This skill uses the Python azure-mgmt-storage SDK to perform comprehensive security audits on Azure Blob and ADLS storage accounts. It detects critical misconfigurations, including public access exposure, weak or long-lived SAS tokens, lack of encryption at rest, failure to enforce HTTPS, and outdated TLS versions. The output is a detailed, risk-scored report with remediation recommendations, essential for SOC analysts and security posture management.

This tool provides a comprehensive security audit framework for Azure Storage accounts. It systematically detects critical misconfigurations, such as publicly accessible blob containers, weak encryption settings, overly permissive network access rules, and missing logging. Use it when performing compliance checks, responding to security incidents, or establishing storage security baselines in Azure environments.

This skill provides a comprehensive guide for identifying and exploiting insecure local data storage vulnerabilities in Android and iOS applications. It covers analyzing plaintext credentials, unencrypted SQLite databases, insecure SharedPreferences, and improper keychain/keystore usage. Essential for performing robust mobile penetration testing focused on OWASP M9.

Implements comprehensive security controls for the entire API key lifecycle, including secure generation, hashing, storage, rotation, and revocation. This skill involves designing keys with sufficient entropy, enforcing per-key scoping, setting rate limits, and building automated workflows to prevent leakage and unauthorized access. Essential for robust server-to-server authentication.

This guide details the implementation of Microsoft Defender for Cloud, enabling comprehensive cloud security posture management (CSPM) and workload protection (CWPP). Learn how to secure VMs, containers, databases, and storage accounts, configure security recommendations, and establish automated remediation workflows to ensure continuous compliance and robust cloud defense.

A comprehensive technical guide covering the implementation of Data Loss Prevention (DLP) across major cloud platforms, including AWS Macie, Google Cloud DLP, and Azure Information Protection. Learn how to automatically discover, classify, and protect sensitive data (PII, PHI) residing in cloud storage, databases, and data pipelines, ensuring adherence to compliance frameworks like GDPR and HIPAA.