auth-implementation-patterns – Coding skill for AI agents
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
Install the auth-implementation-patterns skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/auth-implementation-patterns-c7225.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /auth-implementation-patterns – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/auth-implementation-patterns-c7225.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $auth-implementation-patterns – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/auth-implementation-patterns-c7225.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /auth-implementation-patterns – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/auth-implementation-patterns-c7225.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /auth-implementation-patterns – then describe the task you want done.
SKILL.md content
Authentication & Authorization Implementation Patterns
Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices.
When to Use This Skill
- Implementing user authentication systems
- Securing REST or GraphQL APIs
- Adding OAuth2/social login
- Implementing role-based access control (RBAC)
- Designing session management
- Migrating authentication systems
- Debugging auth issues
- Implementing SSO or multi-tenancy
Core Concepts
1. Authentication vs Authorization
Authentication (AuthN): Who are you?
- Verifying identity (username/password, OAuth, biometrics)
- Issuing credentials (sessions, tokens)
- Managing login/logout
Authorization (AuthZ): What can you do?
- Permission checking
- Role-based access control (RBAC)
- Resource ownership validation
- Policy enforcement
2. Authentication Strategies
Session-Based:
- Server stores session state
- Session ID in cookie
- Traditional, simple, stateful
Token-Based (JWT):
- Stateless, self-contained
- Scales horizontally
- Can store claims
OAuth2/OpenID Connect:
- Delegate authentication
- Social login (Google, GitHub)
- Enterprise SSO
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
1. Never Store Plain Passwords: Always hash with bcrypt/argon2
2. Use HTTPS: Encrypt data in transit
3. Short-Lived Access Tokens: 15-30 minutes max
4. Secure Cookies: httpOnly, secure, sameSite flags
5. Validate All Input: Email format, password strength
6. Rate Limit Auth Endpoints: Prevent brute force attacks
7. Implement CSRF Protection: For session-based auth
8. Rotate Secrets Regularly: JWT secrets, session secrets
9. Log Security Events: Login attempts, failed auth
10. Use MFA When Possible: Extra security layer
Common Pitfalls
- Weak Passwords: Enforce strong password policies
- JWT in localStorage: Vulnerable to XSS, use httpOnly cookies
- No Token Expiration: Tokens should expire
- Client-Side Auth Checks Only: Always validate server-side
- Insecure Password Reset: Use secure tokens with expiration
- No Rate Limiting: Vulnerable to brute force
- Trusting Client Data: Always validate on server
Related skills
- gh-address-comments – Help address review/issue comments on the open GitHub PR for the current branch using gh…
- ai-decision-authority – Routes marketing and GTM decisions into three AI governance zones (AI-Primary…
- gh-fix-ci – Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub…
- debugging-and-error-recovery – Guides systematic root-cause debugging. Use when tests fail, builds break, something…
- agentflow – Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub…
- agentic-actions-auditor – Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations…
- agentic-test-audit – Audit a pytest suite: surviving mutants and untested code, flaky, order-dependent and…
- agentic-verify – Check that a Python change is caught by tests: run every mutant of the changed lines and…