Skill UI

This comprehensive guide details the use of FFUF, a fast web fuzzer written in Go. It is designed for advanced security penetration testing, providing techniques for content discovery, subdomain enumeration, parameter fuzzing, and POST data testing. Learn to master the FUZZ keyword, advanced filtering, and auto-calibration to efficiently identify hidden paths and potential vulnerabilities in web applications.

This skill automates the Design Space Exploration (DSE) process, crucial for computer architecture and Electronic Design Automation (EDA). It runs complex simulations, analyzes performance metrics, and systematically tunes parameters (e.g., cache size, pipeline width) across a defined parameter space. It iterates until the objective metric is optimized or a defined timeout is reached, making it ideal for complex hardware tuning and system design.

This script automates the detection and exploitation of Broken Function Level Authorization (BFLA) in APIs, following OWASP API Top 10 guidelines. It simulates low-privilege users attempting to access or modify restricted administrative endpoints (e.g., user management, system settings) using techniques like role switching, path manipulation, and parameter tampering. Essential for assessing vertical privilege escalation risks and verifying robust Role-Based Access Control (RBAC).

This skill automates the hardening of Linux endpoints (Ubuntu, RHEL, CentOS) by implementing industry-standard security best practices guided by CIS Benchmarks. It systematically secures various layers, including filesystem permissions, network parameters (sysctl), SSH configuration, user access controls (PAM), and integrates deep auditing using auditd and OpenSCAP. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

This skill assesses SSL/TLS server configurations using the sslyze Python library. It evaluates critical security parameters including supported protocol versions (TLS 1.0-1.3), cipher suite strength, certificate chain validation, HSTS enforcement, and known vulnerabilities like Heartbleed and ROBOT. Essential for security audits and compliance testing.

Author, review, simulate, and troubleshoot Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots, covering deck and labware setup, pipettes, modules, runtime parameters, liquid handling, and safe deployment.

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.

A comprehensive guide for configuring and deploying the RuView wireless sensing system. It covers firmware build-time settings (sdkconfig), runtime parameters (NVS provisioning), multi-node mesh setup, and integrating advanced edge intelligence modules (ADR-041). Essential for tuning system behavior and capabilities without modifying core code.

This guide provides comprehensive best practices for ensuring scientific reproducibility in technical papers, particularly for electronics and information processing fields. It covers the critical pillars of documentation: environment setup, data sourcing and preprocessing, full algorithmic disclosure (including pseudo-code and hyperparameters), and robust statistical evaluation. By adopting these standards, authors can transform their work from potentially unverifiable results into credible, verifiable scientific contributions suitable for top-tier journals.

This comprehensive guide provides best practices for packaging supplemental materials and artifacts for top-tier academic conferences like ICDE. It instructs authors on how to build a robust, reproducible evidence chain, including parameterized workload generators, configuration scripts, and detailed logs. The goal is to ensure that reviewers can quickly and accurately validate all performance claims and technical contributions, making the work 'turnkey' and verifiable.

A comprehensive guide for authors targeting the International Journal of Machine Tools and Manufacture (IJMTM). This skill helps assess the fit of a manuscript, ensuring the work elevates beyond simple parameter optimization to provide a deep, mechanistic, and quantitative understanding of manufacturing processes, machine-tool dynamics, and metrology. Essential for framing high-impact scientific contributions.