What problem does it solve? Non-technical vibe coding users cannot verify whether their AI-generated backend is actually secure, and AI often claims "security is handled" without evidence. This Skill provides six structured checkpoints with ready-to-send prompts that force AI to show where risks are, what rules exist, and how they are enforced in code. ## Core Features & Use Cases - Six Security Checkpoints: Covers security boundary mapping, input validation, password and admin account rules, permission design tables, injection prevention, and over-defense detection. - Ready-to-Send Prompts: Each checkpoint includes a Chinese prompt users can send directly to AI, plus a plain-language fallback prompt when explanations are too technical. - Structured Outputs: Generates a backend-security-report.md with evidence per checkpoint, AI rules for future development, and a checklist with severity ratings and go-live decision criteria. - Use Case: Before launching an AI-built e-commerce backend, a non-technical founder runs the permission design table checkpoint and discovers users can view each other's orders by changing the order ID in the URL — a horizontal escalation gap fixed before go-live. ## Quick Start Use the backend-security-checkpoint skill to audit my backend API security and generate a security report before go-live.