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Found 17 Skills
Guideline for designing, implementing, and verifying secure Python applications following OWASP Top 10 best practices. Use when the user wants to: (1) review Python code for security vulnerabilities, (2) design a secure Python application architecture, (3) implement security features (authentication, authorization, cryptography, input validation), (4) audit Python dependencies for known vulnerabilities, (5) create security checklists or verification plans, (6) fix security bugs or harden existing Python code, (7) set up security testing and static analysis (bandit, safety, semgrep), or (8) handle any Python security concern including injection prevention, secure deserialization, SSRF protection, secrets management, and secure deployment.
Use when checking code quality, running security audits, testing coverage, finding violations, or setting up quality tools - supports Drupal (PHPStan, PHPMD, PHPCPD, Psalm, Semgrep, Trivy, Gitleaks via DDEV) and Next.js (ESLint, Jest, jscpd, madge, Semgrep, Trivy, Gitleaks) projects with TDD, SOLID, DRY, and OWASP security checks
Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
Detect and refactor code duplication with PMD CPD. TRIGGERS - code clones, DRY violations, duplicate code.