{"product_id":"comprehensive-ai-llm-security-skill-for-secure-applications","title":"Comprehensive AI\/LLM Security Skill for Secure Applications","description":"\u003ch3\u003eComprehensive AI\/LLM Security Skill for Secure Applications\u003c\/h3\u003e\n\n\u003cp\u003eThis AI agent skill is designed to conduct exhaustive security assessments for applications integrating language learning models (LLMs). It aids in evaluating AI systems with focus on prompt injection vulnerabilities, retrieval-augmented generation (RAG) security, agent and tool permissioning, model supply chain integrity, LLM red teaming, AI governance, evaluation design, data leakage prevention, jailbreak testing, and overall secure AI application reviews.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eInventories AI systems to detail models, prompts, tools, RAG sources, memory, logs, user roles, secrets, data classes, and downstream actions.\u003c\/li\u003e\n  \u003cli\u003eModels threats by assessing trust boundaries from user input to prompt, content retrieval to model, model output to tools, tool output to users, and logs\/traces to operators.\u003c\/li\u003e\n  \u003cli\u003eTests high-risk paths, including direct and indirect prompt injection, data exfiltration, insecure tool invocation, agent over-permissions, policy-altering jailbreaks, and model\/provider key leakage.\u003c\/li\u003e\n  \u003cli\u003eRecommends security controls, such as least-privilege tool scopes, allowlisted schemas, retrieval filtering, secret redaction, output validation, human approval for critical actions, and continuous evaluation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill benefits developers and teams working with AI coding agents like Claude Code, Cursor, and Codex. It is particularly useful for those responsible for security assessments and governance of AI-driven applications.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eConducting security assessments for AI applications and agents.\u003c\/li\u003e\n  \u003cli\u003eImplementing governance frameworks and evaluation designs for LLMs.\u003c\/li\u003e\n  \u003cli\u003ePerforming red team exercises to test model robustness and resistance to adversarial attacks.\u003c\/li\u003e\n  \u003cli\u003eEnsuring secure integration of retrieval-augmented generation systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eUtilizes AI agent skills within Claude Code, Cursor, and Codex environments.\u003c\/li\u003e\n  \u003cli\u003eIncorporates AI\/LLM security review frameworks to ensure comprehensive threat assessment.\u003c\/li\u003e\n  \u003cli\u003eSupports evaluation and recommendation of control measures to mitigate identified risks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor authorised security testing, defensive research and educational use only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003e26zl\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/26zl\/cybersec-toolkit\" rel=\"nofollow noopener\" target=\"_blank\"\u003e26zl\/cybersec-toolkit\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52891752923447,"sku":"MCP-26ZL-CYBERSEC-TOOLKIT-AI-LLM-SECURITY-REVIEW","price":23.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/DC-HNa3ldmXoal-ZBzdkG_fd902589f55a453b97f4a0cc32744bd8.jpg?v=1787573658","url":"https:\/\/mcpcart.com\/products\/comprehensive-ai-llm-security-skill-for-secure-applications","provider":"SPF PRO","version":"1.0","type":"link"}