backend-security-checkpoint

Audit backend API security, permissions, and injection risks using structured verification prompts.

Updated Aug 26, 2026
One-click install
npx skills add https://github.com/Yjj0333/skills-manager-backup --skill backend-security-checkpoint-yjj0333
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-security-checkpoint
Source: https://github.com/Yjj0333/skills-manager-backup/tree/main/backend-security-checkpoint
Command: npx skills add https://github.com/Yjj0333/skills-manager-backup --skill backend-security-checkpoint-yjj0333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about backend-security-checkpoint

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my AI-generated backend is secure before launch?▼

Run six structured checkpoints: security boundary table, input validation audit, password rules, permission design table, injection prevention, and over-defense review. Each checkpoint provides a prompt to send to AI that demands evidence of where rules are enforced in code, not just claims that security is handled.

What is the difference between authentication and authorization in API security?▼

Authentication verifies who the user is through login, while authorization controls what that user can do. Being logged in does not grant access to everything — each endpoint needs role checks and data ownership verification to prevent vertical and horizontal privilege escalation.

How is this different from advanced-backend-security-shield?▼

This skill targets non-technical vibe coding users who verify security through structured prompts without reading code. The advanced-backend-security-shield skill is a full DevSecOps engineering tool designed for technical users doing hands-on security engineering.

Why is frontend validation not enough for backend security?▼

Attackers bypass the frontend entirely and send requests directly to backend APIs using tools. Frontend validation only improves user experience; critical parameters like price, user ID, and data ownership must be validated server-side to prevent unauthorized access and data manipulation.

What are the limitations of this security audit approach?▼

This is a prompt-guided verification process, not automated penetration testing or code scanning. It relies on AI responses to structured prompts, so it cannot replace professional security audits for high-stakes systems, and users must still demand concrete evidence rather than accepting verbal assurances.