Analyze code for securable qualities using the OWASP FIASSE/SSEM framework. Use when assessing code securability, evaluating engineering attributes that impact security (analyzability, modifiability, testability, confidentiality, accountability, authenticity, availability, integrity, resilience), reviewing merge requests through a securable engineering lens, or establishing a security posture baseline. Complements vulnerability-centric reviews by focusing on whether code is able to accommodate fixes for security findings and is engineered to remain securable over time.
Meta-skill that wraps code generation to enforce OWASP FIASSE securable coding attributes and principles. Use when generating, scaffolding, or refactoring code so that the output is engineered to be inherently securable by default. Applies the nine SSEM attributes (Analyzability, Modifiability, Testability, Confidentiality, Accountability, Authenticity, Availability, Integrity, Resilience), the Transparency principle, and OWASP FIASSE defensive coding practices to every code generation task. Invoke this skill alongside or instead of raw code generation when the user asks for secure code, securable code, FIASSE-compliant code, or when generating security-sensitive components (auth, input handling, data access, API endpoints, trust boundaries).
Security-first development guidance based on OWASP ASVS (Application Security Verification Standard). Use this skill automatically when planning or implementing any code that touches user input, authentication, data persistence, network communication, file I/O, cryptography, or access control. This skill ensures all generated code adheres to industry-standard security practices with explicit references to applied guidance.
Comprehensive LLM security assessment against OWASP Top 10 for LLM Applications 2025. Use when reviewing LLM-integrated applications, RAG pipelines, chatbots, AI agents, or GenAI features. Covers prompt injection, data poisoning, supply chain, excessive agency, and more with real-world attack scenarios and testing methodologies.
Audit AI agent configurations for security risks — excessive permissions, prompt injection surfaces, data exfiltration paths, and missing guardrails. Use when reviewing CLAUDE.md files, MCP configs, agent orchestration code, or any AI agent setup.
Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.
Comprehensive API security review against OWASP API Security Top 10 (2023). Use when reviewing OpenAPI/Swagger specs, auditing REST/GraphQL/gRPC implementations, testing authentication mechanisms, or checking API gateway configurations. Covers BOLA/IDOR, broken auth, mass assignment, rate limiting, SSRF, and more with real-world attack scenarios.
Security-focused code review mapped to OWASP Top 10 and ASVS. Use when reviewing pull requests, auditing files or modules for vulnerabilities, or performing pre-merge security gate checks. Covers injection, auth, authorization, cryptography, data exposure, misconfiguration, and deserialization.