Skill UI

A comprehensive skill for detecting and exploiting JavaScript prototype pollution vulnerabilities in both client-side and server-side applications. It demonstrates advanced property injection techniques to achieve critical security outcomes, including Cross-Site Scripting (XSS), Remote Code Execution (RCE), and authentication/authorization bypass, especially in Node.js environments and JSON merging scenarios.

This utility integrates status updates and notifications with Feishu/Lark. It is designed as an internal, zero-impact tool that other complex skills (e.g., experiment runners, review loops) call to report key events like test completion, scoring results, or reaching a checkpoint. It supports both 'push' (fire-and-forget status updates) and 'interactive' (bidirectional approval/rejection) modes, ensuring seamless workflow visibility and robust operation even if configuration is missing.

This comprehensive skill automates the entire process of generating novel, robust, and benchmark-grounded research ideas in robotics and embodied AI. It guides users from a broad initial concept to concrete, actionable project proposals by chaining rigorous literature surveys, novelty verification, and critical reviews. The workflow enforces robotics constraints, prioritizing simulation-first, falsifiable, and feasible real-world applications.

A comprehensive guide to configuring multi-layered DDoS protection using Cloudflare. This skill covers mitigating volumetric (L3/4) and application-layer (L7) attacks by setting up managed rulesets, Web Application Firewall (WAF) rules, rate limiting, and Bot Management. Ideal for strengthening security architecture and meeting compliance standards.

This skill guides the implementation of Mobile Application Management (MAM) policies, enabling robust data protection for corporate assets on both managed and unmanaged mobile devices (BYOD). It covers configuring app-level controls such as Data Loss Prevention (DLP), selective wiping, and containerization using platforms like Microsoft Intune and Azure AD. Use this when enforcing data separation between personal and work environments without requiring full device enrollment.

This skill details the deployment of Cisco Identity Services Engine (ISE) for comprehensive network access control. It utilizes 802.1X, MAC Authentication Bypass (MAB), and posture assessment to centralize policy enforcement. ISE acts as a RADIUS policy server, providing dynamic VLAN assignment, downloadable ACLs, and robust authentication for both wired and wireless enterprise environments.

This skill guides the deployment and comprehensive configuration of Rapid7 InsightVM. It covers setting up the Security Console and distributed Scan Engines for both authenticated and unauthenticated vulnerability scanning. Learn how to manage diverse scan templates (e.g., PCI, HIPAA), utilize various credential types (SSH, WMI), and integrate endpoint assessment for robust cybersecurity posture management.

This skill guides the implementation of security chaos engineering experiments. It involves deliberately degrading or disabling security controls (like WAF, firewalls, or log pipelines) in a controlled environment to rigorously verify the detection, alerting, and response capabilities of the Security Operations Center (SOC). Users learn to use tools like boto3 and Python to simulate failure scenarios and assess system resilience and compliance posture.

This skill outlines how to configure rsyslog for robust, centralized log collection. It covers establishing high-availability syslog infrastructure using TLS encryption, X.509 certificate authentication, and reliable disk-assisted queuing. Learn to generate and deploy both server and client configurations for secure, segregated, and reliable security operations logging.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.

This skill provides methods for comprehensive forensic acquisition of data from major cloud services, including Google Drive, OneDrive, Dropbox, and Box. It collects evidence through both API-based remote acquisition and local endpoint artifact analysis, making it essential for incident response, security assessments, and digital forensic investigations.

This comprehensive guide outlines the end-to-end workflow for mobile device forensics, covering data acquisition and analysis for both iOS and Android platforms. It details techniques using commercial tools like Cellebrite UFED and open-source utilities (ALEAPP, iLEAPP, ADB). This methodology is critical for investigating deleted messages, call logs, location data, and application artifacts in legal or corporate investigations.