Skill UI

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

A comprehensive framework for penetration testing APIs, designed to detect and exploit critical injection flaws. It covers SQL injection (SQLi), NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF). This skill guides the testing of all input vectors—including path parameters, headers, query strings, and request bodies—to assess input validation and backend security posture against industry standards like OWASP.

API Security Posture Management (API-SPM) provides continuous, unified visibility into an organization's entire API attack surface. It automatically discovers, classifies, and risk-scores all APIs—including internal, external, and shadow endpoints. By aggregating findings from various sources (DAST, SAST, runtime logs), it helps enforce security policies, detect configuration drift, and maintain compliance across the entire API lifecycle.

This skill utilizes the Thinkst Canary REST API to programmatically deploy various decoy tokens, including web bugs, DNS records, MS Word documents, and AWS API keys. By monitoring these fake resources, the system detects unauthorized internal or external access attempts, providing early warnings and generating detailed deception coverage reports to strengthen security architecture.

This tool guides the deployment and configuration of the Dragos Platform for critical Operational Technology (OT) and Industrial Control System (ICS) network monitoring. It leverages over 600 industrial protocol parsers and advanced threat intelligence to detect sophisticated attacks (e.g., VOLTZITE, GRAPHITE). Use it for building an OT Security Operations Center (SOC), asset discovery, and vulnerability management in industrial settings, integrating alerts with enterprise SIEMs.

A comprehensive guide to securing Kubernetes Role-Based Access Control (RBAC). It teaches best practices for implementing least-privilege policies, eliminating excessive cluster-admin bindings, utilizing namespace-scoped roles, and integrating external identity providers (OIDC) to mitigate risks like privilege escalation and unauthorized data access.

Automate comprehensive vulnerability management by deploying and operating Greenbone/OpenVAS. This skill guides the use of the python-gvm library to programmatically manage the entire scanning lifecycle: creating scan targets, executing complex vulnerability scans via the Greenbone Management Protocol (GMP), monitoring progress, and parsing detailed XML reports into actionable JSON findings. Ideal for security assessments and compliance checks.

This skill guides the integration of OWASP ZAP for Dynamic Application Security Testing (DAST) directly into CI/CD pipelines. Learn how to perform baseline, full, and API scans against running applications, interpret complex security findings, tune scan policies, and establish automated security quality gates in modern CI/CD platforms like GitHub Actions and GitLab CI. Essential for DevSecOps practices.

This file serves as the dedicated translation resource for the MCP Server Patterns library. It is used to localize key strings and texts to ensure accurate user experience across different languages. Developers should refer to the original skill file for the core English content.

This skill implements a sophisticated risk-based prioritization engine by combining three critical data sources: the CISA Known Exploited Vulnerabilities (KEV) catalog, the Exploit Prediction Scoring System (EPSS), and traditional CVSS scores. It allows security teams to move beyond simple severity ratings, focusing remediation efforts on vulnerabilities confirmed to be actively exploited in the wild or predicted to be highly exploitable. The workflow integrates fetching, enriching, and scoring vulnerabilities to generate an actionable remediation plan with defined SLAs.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This comprehensive skill guides the process of rapid malware triage and classification using YARA rules. It covers advanced techniques for writing detection rules based on unique strings, specific byte sequences, and structural PE characteristics. It is essential for security analysts building automated detection pipelines, scanning endpoints, or performing large-scale threat hunting across an enterprise environment.