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.

This tool detects abnormal access patterns across major cloud storage services (AWS S3, GCS, Azure Blob Storage). By analyzing audit logs like CloudTrail, it uses statistical baselines and time-series anomaly detection to identify suspicious activities such as after-hours bulk downloads, access from new IPs, or unusual API call spikes. It is crucial for investigating potential data exfiltration incidents or building robust cloud security detection rules.

This comprehensive skill guides the deployment and utilization of MISP, a powerful open-source threat intelligence platform. It covers configuring various threat feeds (TAXII, CSV, etc.) and using the PyMISP Python API to programmatically automate the collection, storage, and correlation of Indicators of Compromise (IOCs) and threat events from diverse community and commercial sources.

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 guides the configuration and usage of Hardware Security Modules (HSMs) for robust cryptographic key management. Utilizing the industry-standard PKCS#11 interface, it covers key generation, signing, encryption, and key management directly on hardened physical or soft devices. It is essential for applications requiring the highest level of key protection, ensuring that private keys never leave the secure hardware boundary.

This skill audits Azure Blob and ADLS storage accounts for critical security misconfigurations. It checks for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, and outdated TLS versions. Using the Python SDK, it generates a detailed, risk-scored report to enhance cloud security posture management and detect potential data exposure risks.

This guide provides a comprehensive framework for auditing Azure Storage accounts to detect critical security misconfigurations. It specifically checks for publicly accessible blob containers, insufficient encryption settings (e.g., missing infrastructure encryption), overly permissive network rules, and exposed SAS tokens. It is essential for compliance verification, responding to security alerts (like anonymous access), and establishing a robust security baseline when onboarding new cloud subscriptions.

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.

This comprehensive guide details robust techniques for managing the entire API key lifecycle. It mandates secure key generation with high entropy, server-side hashing (SHA-256/bcrypt) to prevent plaintext storage, and implements granular controls like per-key scoping (endpoints, IPs, rate limits). Key features include zero-downtime key rotation workflows and automated monitoring for key leakage across code repositories and logs. Ideal for server-to-server API authentication.

A comprehensive guide detailing how to implement Microsoft Defender for Cloud across various workloads (VMs, containers, SQL, storage) to achieve continuous security monitoring and compliance assessment. This process utilizes Azure Policy, Log Analytics, and Azure Arc for holistic protection, enabling adaptive remediation and meeting stringent regulatory requirements like PCI-DSS and CIS standards.