Skill UI

Streamline Bolt IoT workflows by orchestrating Rube MCP (Composio) toolkit calls: search tool schemas, manage bolt_iot connections, and execute multi-tool runs with memory/session handling.

Comprehensive guidance on using Shodan’s web UI, CLI, and API for reconnaissance, exposed-service discovery, screenshot capture, and exporting JSON/CSV data during penetration tests.

Comprehensive guidance on using Shodan’s web UI, CLI, and API for reconnaissance, exposed-service discovery, screenshot capture, and exporting JSON/CSV data during penetration tests.

This guide details the robust process of implementing VLAN-based (802.1Q) network segmentation on managed switches. It is crucial for isolating critical zones—such as DMZ, servers, and IoT—to meet strict compliance standards (PCI-DSS, HIPAA) and significantly limiting the blast radius during a security incident by controlling lateral movement. Includes port hardening and ACL configuration.

A comprehensive guide to configuring pfSense firewalls for robust network security. This skill covers setting up complex network segmentation across multiple zones (DMZ, internal, guest, IoT), implementing granular firewall rules, configuring NAT for port forwarding, and establishing site-to-site or remote-access VPN tunnels using IPsec or OpenVPN. Ideal for network engineers deploying perimeter or internal firewalls.

Perform comprehensive security audits on Bluetooth Low Energy (BLE) devices, identifying potential vulnerabilities in IoT, healthcare, and smart home applications. This skill uses Python to discover devices, enumerate GATT services, and flag unencrypted or unauthenticated read/write access to sensitive data fields, helping organizations validate security controls.

A comprehensive tool suite designed to analyze firmware images from embedded devices, including routers, IoT endpoints, and critical system components like UEFI/BIOS. It facilitates deep security analysis by performing firmware extraction, filesystem integrity checks, binary reverse engineering, and sophisticated detection of bootkits, backdoors, and unauthorized modifications.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

This skill functions as a Brand Psychologist and Semiotics Researcher. It diagnoses the subconscious signals (visual, verbal, behavioral) a market currently associates with a brand, identifying the 'perception gap' between the current schema and the desired brand position. It then prescribes minimal, high-leverage changes across all touchpoints to achieve perceptual alignment and build trust.

Design and implement Arduino integration with Azure IoT Hub and IoT Edge, covering secure provisioning, resilient telemetry, command handling, and production guardrails.

Design and plan end-to-end Azure IoT and Smart City solutions: gather requirements, define architecture, security, operations, cost, and phased delivery roadmap with concrete implementation artifacts.