Modern application security is often neglected in the rush of rapid development cycles, yet automating these safeguards is more accessible than ever through the use of agentic frameworks. The central argument presented is that leveraging LLM agents to perform systematic code audits provides a scalable, reusable defense mechanism that bridges the gap between manual oversight and complex security software. By embedding domain-specific knowledge—such as the OWASP Top 10—directly into an agent's instruction set, developers can ensure their applications are measured against industry-standard benchmarks. Building modular skills allows these security capabilities to be shared across multiple projects and agents, preventing the 'reinvention of the wheel' for every new codebase. The process involves creating a structured reference system where an agent can dynamically pull vulnerability definitions and apply them to specific project files. Integrating sub-agents for specialized tasks like security scanning allows for a cleaner separation of concerns while maintaining high-level control over the development lifecycle. This approach transforms security from a post-deployment bottleneck into an integrated, repeatable development habit. Furthermore, the practical demonstration shows that even simple agentic configurations can identify critical flaws like insecure authentication and cryptographic failures, which are frequently overlooked by 'vibe coding' workflows. By moving toward a standardized skill-based architecture, developers can build a protective layer that scales with their growth, ensuring that security is a default attribute of their software rather than an afterthought.