[REQUIRED] Comprehensive description of what this skill does and when to use it. Include: (1) Primary functionality, (2) Specific use cases, (3) Security operations context. Must include specific "Use when:" clause for skill discovery. Example: "SAST vulnerability analysis and remediation guidance using Semgrep and industry security standards. Use when: (1) Analyzing static code for security vulnerabilities, (2) Prioritizing security findings by severity, (3) Providing secure coding remediation, (4) Integrating security checks into CI/CD pipelines." Maximum 1024 characters.

Interactive HTTPS proxy for API security testing with traffic interception, modification, and replay capabilities. Supports HTTP/1, HTTP/2, HTTP/3, WebSockets, and TLS-protected protocols. Includes Python scripting API for automation and multiple interfaces (console, web, CLI). Use when: (1) Intercepting and analyzing API traffic for security testing, (2) Modifying HTTP/HTTPS requests and responses to test API behavior, (3) Recording and replaying API traffic for testing, (4) Debugging mobile app or thick client API communications, (5) Automating API security tests with Python scripts, (6) Exporting traffic in HAR format for analysis.

API specification linting and security validation using Stoplight's Spectral with support for OpenAPI, AsyncAPI, and Arazzo specifications. Validates API definitions against security best practices, OWASP API Security Top 10, and custom organizational standards. Use when: (1) Validating OpenAPI/AsyncAPI specifications for security issues and design flaws, (2) Enforcing API design standards and governance policies across API portfolios, (3) Creating custom security rules for API specifications in CI/CD pipelines, (4) Detecting authentication, authorization, and data exposure issues in API definitions, (5) Ensuring API specifications comply with organizational security standards and regulatory requirements.

Fast web fuzzer for DAST testing with directory enumeration, parameter fuzzing, and virtual host discovery. Written in Go for high-performance HTTP fuzzing with extensive filtering capabilities. Supports multiple fuzzing modes (clusterbomb, pitchfork, sniper) and recursive scanning. Use when: (1) Discovering hidden directories, files, and endpoints on web applications, (2) Fuzzing GET and POST parameters to identify injection vulnerabilities, (3) Enumerating virtual hosts and subdomains, (4) Testing authentication endpoints with credential fuzzing, (5) Finding backup files and sensitive data exposures, (6) Performing comprehensive web application reconnaissance.

Fast, template-based vulnerability scanning using ProjectDiscovery's Nuclei with extensive community templates covering CVEs, OWASP Top 10, misconfigurations, and security issues across web applications, APIs, and infrastructure. Use when: (1) Performing rapid vulnerability scanning with automated CVE detection, (2) Testing for known vulnerabilities and security misconfigurations in web apps and APIs, (3) Running template-based security checks in CI/CD pipelines with customizable severity thresholds, (4) Creating custom security templates for organization-specific vulnerability patterns, (5) Scanning multiple targets efficiently with concurrent execution and rate limiting controls.

Dynamic application security testing (DAST) using OWASP ZAP (Zed Attack Proxy) with passive and active scanning, API testing, and OWASP Top 10 vulnerability detection. Use when: (1) Performing runtime security testing of web applications and APIs, (2) Detecting vulnerabilities like XSS, SQL injection, and authentication flaws in deployed applications, (3) Automating security scans in CI/CD pipelines with Docker containers, (4) Conducting authenticated testing with session management, (5) Generating security reports with OWASP and CWE mappings for compliance.

Python security vulnerability detection using Bandit SAST with CWE and OWASP mapping. Use when: (1) Scanning Python code for security vulnerabilities and anti-patterns, (2) Identifying hardcoded secrets, SQL injection, command injection, and insecure APIs, (3) Generating security reports with severity classifications for CI/CD pipelines, (4) Providing remediation guidance with security framework references, (5) Enforcing Python security best practices in development workflows.

Static application security testing (SAST) using Semgrep for vulnerability detection, security code review, and secure coding guidance with OWASP and CWE framework mapping. Use when: (1) Scanning code for security vulnerabilities across multiple languages, (2) Performing security code reviews with pattern-based detection, (3) Integrating SAST checks into CI/CD pipelines, (4) Providing remediation guidance with OWASP Top 10 and CWE mappings, (5) Creating custom security rules for organization-specific patterns, (6) Analyzing dependencies for known vulnerabilities.

Software Composition Analysis (SCA) using Synopsys Black Duck for identifying open source vulnerabilities, license compliance risks, and supply chain security threats with CVE, CWE, and OWASP framework mapping. Use when: (1) Scanning dependencies for known vulnerabilities and security risks, (2) Analyzing open source license compliance and legal risks, (3) Identifying outdated or unmaintained dependencies, (4) Integrating SCA into CI/CD pipelines for continuous dependency monitoring, (5) Providing remediation guidance for vulnerable dependencies with CVE and CWE mappings, (6) Assessing supply chain security risks and third-party component threats.

Policy-as-code enforcement and compliance validation using Open Policy Agent (OPA). Use when: (1) Enforcing security and compliance policies across infrastructure and applications, (2) Validating Kubernetes admission control policies, (3) Implementing policy-as-code for compliance frameworks (SOC2, PCI-DSS, GDPR, HIPAA), (4) Testing and evaluating OPA Rego policies, (5) Integrating policy checks into CI/CD pipelines, (6) Auditing configuration drift against organizational security standards, (7) Implementing least-privilege access controls.

Container vulnerability scanning and dependency risk assessment using Grype with CVSS severity ratings, EPSS exploit probability, and CISA KEV indicators. Use when: (1) Scanning container images and filesystems for known vulnerabilities, (2) Integrating vulnerability scanning into CI/CD pipelines with severity thresholds, (3) Analyzing SBOMs (Syft, SPDX, CycloneDX) for security risks, (4) Prioritizing remediation based on threat metrics (CVSS, EPSS, KEV), (5) Generating vulnerability reports in multiple formats (JSON, SARIF, CycloneDX) for security toolchain integration.

Dockerfile security linting and best practice validation using Hadolint with 100+ built-in rules aligned to CIS Docker Benchmark. Use when: (1) Analyzing Dockerfiles for security misconfigurations and anti-patterns, (2) Enforcing container image security best practices in CI/CD pipelines, (3) Detecting hardcoded secrets and credentials in container builds, (4) Validating compliance with CIS Docker Benchmark requirements, (5) Integrating shift-left container security into developer workflows, (6) Providing remediation guidance for insecure Dockerfile instructions.

Infrastructure as Code (IaC) security scanning using Checkov with 750+ built-in policies for Terraform, CloudFormation, Kubernetes, Dockerfile, and ARM templates. Use when: (1) Scanning IaC files for security misconfigurations and compliance violations, (2) Validating cloud infrastructure against CIS, PCI-DSS, HIPAA, and SOC2 benchmarks, (3) Detecting secrets and hardcoded credentials in IaC, (4) Implementing policy-as-code in CI/CD pipelines, (5) Generating compliance reports with remediation guidance for cloud security posture management.

Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2) Analyzing dependencies for known CVEs across multiple languages (Go, Python, Node.js, Java, etc.), (3) Detecting IaC security issues in Terraform, Kubernetes, Dockerfile, (4) Integrating vulnerability scanning into CI/CD pipelines with SARIF output, (5) Generating Software Bill of Materials (SBOM) in CycloneDX or SPDX format, (6) Prioritizing remediation by CVSS score and exploitability.

Hardcoded secret detection and prevention in git repositories and codebases using Gitleaks. Identifies passwords, API keys, tokens, and credentials through regex-based pattern matching and entropy analysis. Use when: (1) Scanning repositories for exposed secrets and credentials, (2) Implementing pre-commit hooks to prevent secret leakage, (3) Integrating secret detection into CI/CD pipelines, (4) Auditing codebases for compliance violations (PCI-DSS, SOC2, GDPR), (5) Establishing baseline secret detection and tracking new exposures, (6) Remediating historical secret exposures in git history.

Vulnerability management and findings aggregation using DefectDojo. Centralizes security findings from all SecOpsAgentKit scanners (Semgrep, Bandit, ZAP, Trivy, Grype, Gitleaks, Nuclei, Checkov, Horusec) into a unified platform with automatic deduplication, SLA tracking, risk-based prioritization, and compliance reporting. Use when: (1) Aggregating findings from multiple scanners across products and pipelines, (2) Tracking remediation status and SLA compliance against policy thresholds, (3) Deduplicating overlapping findings across security tools, (4) Generating vulnerability reports for compliance audits (SOC2, PCI-DSS, GDPR), (5) Managing security debt and vulnerability backlog across teams and applications.

Generic detection rule creation and management using Sigma, the universal SIEM rule format. Sigma provides vendor-agnostic detection logic for log analysis across multiple SIEM platforms. Use when: (1) Creating detection rules for security monitoring, (2) Converting rules between SIEM platforms (Splunk, Elastic, QRadar, Sentinel), (3) Threat hunting with standardized detection patterns, (4) Building detection-as-code pipelines, (5) Mapping detections to MITRE ATT&CK tactics, (6) Implementing compliance-based monitoring rules.

SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases. Enables rapid evidence collection, threat hunting, and incident response across Linux, macOS, and Windows endpoints. Use when: (1) Investigating security incidents and collecting forensic artifacts, (2) Threat hunting across endpoints for suspicious activity, (3) Analyzing running processes, network connections, and persistence mechanisms, (4) Collecting system state during incident response, (5) Querying file hashes, user activity, and system configuration for compromise indicators, (6) Building detection queries for continuous monitoring with osqueryd.

Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale. Use when: (1) Conducting forensic investigations across multiple endpoints, (2) Hunting for indicators of compromise or suspicious activities, (3) Collecting endpoint telemetry and artifacts for incident analysis, (4) Performing live response and evidence preservation, (5) Monitoring endpoints for security events, (6) Creating custom forensic artifacts for specific threat scenarios.

Network protocol analyzer and packet capture tool for traffic analysis, security investigations, and forensic examination using Wireshark's command-line interface. Use when: (1) Analyzing network traffic for security incidents and malware detection, (2) Capturing and filtering packets for forensic analysis, (3) Extracting credentials and sensitive data from network captures, (4) Investigating network anomalies and attack patterns, (5) Validating encryption and security controls, (6) Performing protocol analysis for vulnerability research.

Advanced password recovery and hash cracking tool supporting multiple algorithms and attack modes. Use when: (1) Performing authorized password auditing and security assessments, (2) Recovering passwords from captured hashes in forensic investigations, (3) Testing password policy strength and complexity, (4) Validating encryption implementations, (5) Conducting security research on cryptographic hash functions, (6) Demonstrating password weakness in penetration testing reports.

Network utility for reading and writing data across TCP/UDP connections, port scanning, file transfers, and backdoor communication channels. Use when: (1) Testing network connectivity and port availability, (2) Creating reverse shells and bind shells for authorized penetration testing, (3) Transferring files between systems in restricted environments, (4) Banner grabbing and service enumeration, (5) Establishing covert communication channels, (6) Testing firewall rules and network segmentation.

Operational Technology (OT) security assessment using a two-stage methodology: (1) Identification/Discovery of OT devices and protocols, and (2) Vulnerability Assessment using online sources and Metasploit. Use when: (1) Conducting authorized OT/ICS security assessments, (2) Identifying and enumerating OT protocols (Modbus, S7, IEC 104, DNP3, BACnet, EtherNet/IP), (3) Discovering industrial control devices and PLCs, (4) Assessing OT protocol vulnerabilities and security weaknesses, (5) Performing compliance scanning aligned with IEC 62443 standards, (6) Validating network segmentation and access controls in OT environments.

Penetration testing framework for exploit development, vulnerability validation, and authorized security assessments using Metasploit Framework. Use when: (1) Validating vulnerabilities in authorized security assessments, (2) Demonstrating exploit impact for security research, (3) Testing defensive controls in controlled environments, (4) Conducting authorized penetration tests with proper scoping and authorization, (5) Developing post-exploitation workflows for red team operations.

Linux privilege escalation enumeration and attack surface analysis using LinPEAS (Linux Privilege Escalation Awesome Script). Automates post-exploitation discovery of escalation vectors, misconfigurations, and credential exposure on Linux targets. Use when: (1) Enumerating privilege escalation vectors after initial access on a Linux system, (2) Identifying SUID/SGID binaries, sudo misconfigurations, and capability abuses, (3) Hunting for credentials in config files, history, and logs, (4) Detecting container breakout opportunities and writable service files, (5) Mapping kernel exploits and CVE exposure for a target system, (6) Conducting authorized CTF, red team, or penetration test post-exploitation phases.

Network reconnaissance and security auditing using Nmap for port scanning, service enumeration, and vulnerability detection. Use when: (1) Conducting authorized network reconnaissance and asset discovery, (2) Enumerating network services and identifying running versions, (3) Detecting security vulnerabilities through NSE scripts, (4) Mapping network topology and firewall rules, (5) Performing compliance scanning for security assessments, (6) Validating network segmentation and access controls.

Web server vulnerability scanner for identifying security issues, misconfigurations, and outdated software versions. Use when: (1) Conducting authorized web server security assessments, (2) Identifying common web vulnerabilities and misconfigurations, (3) Detecting outdated server software and known vulnerabilities, (4) Performing compliance scans for web server hardening, (5) Enumerating web server information and enabled features, (6) Validating security controls and patch levels.

Automated SQL injection detection and exploitation tool for web application security testing. Use when: (1) Testing web applications for SQL injection vulnerabilities in authorized assessments, (2) Exploiting SQL injection flaws to demonstrate impact, (3) Extracting database information for security validation, (4) Bypassing authentication mechanisms through SQL injection, (5) Identifying vulnerable parameters in web requests, (6) Automating database enumeration and data extraction.

Automated code review and security linting integration for CI/CD pipelines using reviewdog. Aggregates findings from multiple security and quality tools (SAST, linters, formatters) into unified code review comments on pull requests. Use when: (1) Integrating security scanning into code review workflows, (2) Automating security feedback on pull requests, (3) Consolidating multiple tool outputs into actionable review comments, (4) Enforcing secure coding standards in CI/CD pipelines, (5) Providing inline security annotations during development.

Multi-language static application security testing using Horusec with support for 18+ programming languages and 20+ security analysis tools. Performs SAST scans, secret detection in git history, and provides vulnerability findings with severity classification. Use when: (1) Analyzing code for security vulnerabilities across multiple languages simultaneously, (2) Detecting exposed secrets and credentials in git history, (3) Integrating SAST into CI/CD pipelines for secure SDLC, (4) Performing comprehensive security analysis during development, (5) Managing false positives and prioritizing security findings.

Software Bill of Materials (SBOM) generation using Syft for container images, filesystems, and archives. Detects packages across 28+ ecosystems with multi-format output support (CycloneDX, SPDX, syft-json). Enables vulnerability assessment, license compliance, and supply chain security. Use when: (1) Generating SBOMs for container images or applications, (2) Analyzing software dependencies and packages for vulnerability scanning, (3) Tracking license compliance across dependencies, (4) Integrating SBOM generation into CI/CD for supply chain security, (5) Creating signed SBOM attestations for software provenance.

Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmatically using Python code, (2) Generating data flow diagrams (DFDs) with automatic STRIDE threat identification, (3) Integrating threat modeling into CI/CD pipelines and shift-left security practices, (4) Analyzing system architecture for security threats across trust boundaries, (5) Producing threat reports with STRIDE categories and mitigation recommendations, (6) Maintaining threat models as code for version control and automation.