Skill UI

This skill covers implementing Open Policy Agent (OPA) and Gatekeeper for robust policy-as-code enforcement. Learn to write complex Rego policies, deploy OPA Gatekeeper as a Kubernetes admission controller, and integrate policy evaluation into CI/CD pipelines to enforce security and compliance across clusters.

This skill guides the implementation of Gitleaks for robust secret scanning across development lifecycles. It covers setting up pre-commit hooks to prevent secrets from being committed, integrating scanning into CI/CD pipelines (like GitHub Actions), and writing custom regex rules to detect and remediate hardcoded credentials (API keys, passwords, tokens) in Git history, ensuring adherence to secure SDLC practices.

This comprehensive guide details the deployment of HashiCorp Vault for robust, centralized secrets management in hybrid and multi-cloud environments. It covers configuring dynamic secret engines for databases (PostgreSQL) and cloud providers (AWS), integrating diverse authentication methods (OIDC, AppRole, Kubernetes), and securely delivering short-lived secrets to Kubernetes workloads via agents. The primary goal is to enforce zero-trust principles by eliminating hardcoded, long-lived credentials from application code and CI/CD pipelines.

This skill guides the integration of gitleaks and trufflehog into CI/CD pipelines. It automates the detection of hardcoded secrets, such as API keys, passwords, and tokens, preventing their accidental deployment. By integrating scans as a mandatory pre-deployment gate, organizations enforce strong security policies and maintain compliance.

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.

Semgrep is an open-source static analysis tool used to find bugs, detect vulnerabilities, and enforce coding standards. This guide covers writing custom rules in YAML format to implement advanced SAST checks, such as detecting SQL injection, hardcoded secrets, or tracking tainted user input. It is essential for building robust DevSecOps pipelines and ensuring compliance.

In-toto is a CNCF standard project used to verify the integrity of software supply chains. It generates cryptographically signed attestations (link metadata) at every stage of the CI/CD pipeline, proving exactly what artifacts were produced and who authorized the process. This is crucial for securing container builds and ensuring compliance against tampering.

This skill guides the deployment and configuration of a TAXII 2.1 server using OpenTAXII. It enables automated, standardized exchange of STIX-formatted cyber threat intelligence (CTI) indicators between organizations. Use cases include establishing secure threat sharing pipelines, integrating with SIEM/SOAR platforms, and meeting stringent compliance requirements.

Build a PyMISP-driven threat intelligence platform that ingests multiple IOC feeds, tags MITRE ATT&CK techniques, enriches data via VirusTotal and AbuseIPDB, and exports STIX 2.1 bundles for SIEM pipelines.

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 skill guides developers through integrating Static Application Security Testing (SAST) tools like CodeQL and Semgrep into GitHub Actions CI/CD pipelines. It covers automating code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results, and establishing quality gates to prevent vulnerable code from merging into production.

This skill automates the end-to-end academic paper writing process. It transforms raw narrative reports, research ideas, or existing plans into polished, submission-ready LaTeX source and PDF. The comprehensive pipeline includes planning, figure generation, structured writing, compilation, and an advanced improvement loop, allowing users to achieve publication-quality results. Users can optionally guide the structural style using a reference paper.