Skill UI

This guide details the implementation of robust web application logging using ModSecurity WAF and the OWASP Core Rule Set (CRS). It covers configuring audit logging, tuning rules to minimize false positives, and analyzing logs for advanced attack detection. The process ensures that security controls are established, providing critical forensic data for SIEM integration and compliance.

GoPhish is an open-source framework designed for security teams to conduct authorized phishing awareness campaigns. This skill guides users through the entire process: deploying GoPhish, setting up realistic phishing scenarios (templates, landing pages), executing the campaign, and analyzing results to measure and improve organizational resilience against social engineering attacks. It is crucial for proactive security testing and incident response validation.

This skill provides a comprehensive methodology for simulating privilege escalation attacks on compromised Linux and Windows environments. It guides the user through identifying vectors—including SUID abuse, misconfigured services, kernel vulnerabilities, cron job exploitation, and credential harvesting—to elevate initial low-privilege access to root or SYSTEM control. It is crucial for deep-dive penetration testing and assessing system security hardening.

This guide details advanced techniques used in red teaming and penetration testing to elevate user privileges from a low-level account to root access on a compromised Linux system. It covers exploiting misconfigurations, vulnerable services (like SUID/SGID binaries), improper sudo rules, kernel vulnerabilities (e.g., Dirty Pipe), and abuse of system services like Cron jobs and Systemd. Essential for authorized security assessments.

A comprehensive guide to securing AWS Lambda execution roles. It details implementing least-privilege IAM policies, utilizing permission boundaries, and restricting resource-based policies. The workflow includes auditing existing permissions using AWS CLI, analyzing actual API usage with CloudTrail and IAM Access Analyzer, and programmatically creating highly scoped policies to minimize the security attack surface.

This guide details the comprehensive process of securing a container registry using Harbor. Learn how to implement advanced security features such as integrated vulnerability scanning (Trivy), image signing (Cosign/Notary), Role-Based Access Control (RBAC), and content trust policies. The workflow covers deployment, policy enforcement, and integrating external authentication like OIDC, ensuring compliant and secure image provenance for Kubernetes environments.

Guides building an IEC 62443-conformant conduit architecture to gate remote OT access via jump servers, MFA, approval workflows, session recording, and time-limited vendor/engineer sessions.

Analyzes UEFI bootkit persistence mechanisms across firmware implants, ESP tampering, and Secure Boot bypass techniques to guide firmware integrity audits, ESP inspection, and malware investigations.

This skill guides the creation of highly functional, operational monitoring dashboards for platforms like Grafana, SigNoz, and similar observability tools. The focus is on transforming raw metrics into actionable insights that answer critical questions (e.g., Is it healthy? Where is the bottleneck? What action is needed?), rather than simply displaying every available metric. Ideal for building dashboards for Kafka, Elasticsearch, or API gateways.

This skill activates the P7 Senior Engineer mode, designed for rigorous, solution-driven execution under P8 supervision. It is used when the user explicitly requests 'P7模式' or when invoked as a sub-task executor by P8. The process involves three key stages: designing a detailed implementation plan and impact analysis, executing the core coding, and finally, completing a mandatory three-question self-review, ensuring high quality and comprehensive verification.

This guide provides a detailed template and directive for generating machine-readable, deterministic implementation plans. It is designed for complex software development tasks, such as adding new features, refactoring existing code, or designing system architecture. The output ensures that all steps are atomic, measurable, and structured for autonomous execution by AI agents or human teams, minimizing ambiguity and dependency.

This advanced workflow automates the process of analyzing the operational health of specific Azure resources. It ingests and analyzes raw logs, telemetry data, and performance metrics from diverse Azure services (e.g., VMs, Web Apps, Databases). The system performs comprehensive root cause analysis, classifies issues (Critical, High, Medium), and generates actionable, step-by-step remediation plans, significantly reducing manual troubleshooting time.