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Found 29 Skills
JavaScript security best practices and vulnerability prevention.
Execute this skill enables comprehensive vulnerability scanning using the vulnerability-scanner plugin. it identifies security vulnerabilities in code, dependencies, and configurations, including cve detection. use this skill when the user asks to scan fo... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Java and Spring Boot security patterns. Covers Spring Security, dependency auditing, secure coding practices, and OWASP for Java ecosystem. USE WHEN: user works with "Java", "Spring Boot", "Spring Security", asks about "Java vulnerabilities", "Maven security", "Gradle security", "Java injection", "Java authentication" DO NOT USE FOR: general OWASP concepts - use `owasp` or `owasp-top-10` instead, Node.js/Python security - use language-specific 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.
Expert at package management and supply chain security. Use when managing dependencies, updating packages, resolving version conflicts, ensuring supply chain security, or auditing vulnerabilities in project dependencies.
Manage project dependencies effectively. Use when adding, updating, or auditing dependencies. Covers version management, security scanning, and lockfiles.
Run Google's OSV-Scanner for Software Composition Analysis. Scans lockfiles and SBOMs across all major ecosystems (npm, PyPI, Maven, Go, Cargo, NuGet, RubyGems) for known vulnerabilities.
Cargo workflow skill for Rust projects. Use when managing workspaces, feature flags, build scripts, cargo cache, incremental builds, dependency auditing, or CI configuration with Cargo. Activates on queries about cargo workspaces, Cargo.toml features, build.rs, cargo nextest, cargo deny, cargo check vs build, or Cargo.lock management.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Use when reviewing code for security vulnerabilities, implementing authentication or authorization, handling user input, managing secrets, or auditing dependencies for known CVEs. Triggers: auth implementation, input handling, secrets management, dependency audit, pre-deployment security check, OWASP compliance review.
Scan code repositories for security threats including data exfiltration, backdoors, malicious code injection, dependency chain risks, and sensitive file access. Use this skill when users want to audit a codebase (especially TypeScript/JavaScript/Node.js projects) for security vulnerabilities, detect hidden malware, review npm dependencies for supply-chain attacks, check for credential leaks, or perform a pre-deployment security review. Triggers on requests like "scan for malicious code", "security audit", "check for backdoors", "review dependencies for vulnerabilities", "detect data exfiltration".
Load PROACTIVELY when starting work on an unfamiliar codebase or setting up a new project. Use when user says "help me understand this codebase", "onboard me", "what does this project do", "set up my environment", or "map the architecture". Covers codebase structure analysis, architecture mapping, dependency auditing, convention and pattern detection, developer environment setup, and documentation of findings for rapid productive contribution.