Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/engineerwithai/engineerwith-agents/auth-implementation-patternsnpx skills add EngineerWithAI/engineerwith-agents --skill auth-implementation-patternsgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/engineerwithai/engineerwith-agents/auth-implementation-patterns)<a href="https://agentmods.dev/skills/engineerwithai/engineerwith-agents/auth-implementation-patterns"><img src="https://agentmods.dev/badge/skills/engineerwithai/engineerwith-agents/auth-implementation-patterns.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00046 | $0.04015 |
| Opus 5 | $0.00023 | $0.02008 |
| Sonnet 5 | $0.00009 | $0.00803 |
| Haiku 4.5 | $0.00005 | $0.00402 |
Grade A, and why
auth-implementation-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
84% identical to auth-implementation-patterns — 565 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 635 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
JWT Authentication
Pattern 1: JWT Implementation
// JWT structure: header.payload.signature
import jwt from 'jsonwebtoken';
import { Request, Response, NextFunction } from 'express';
interface JWTPayload {
userId: string;
email: string;
role: string;
iat: number;
exp: number;
}
// Generate JWT
function generateTokens(userId: string, email: string, role: string) {
const accessToken = jwt.sign(
{ userId, email, role },
process.env.JWT_SECRET!,
{ expiresIn: '15m' } // Short-lived
);
const refreshToken = jwt.sign(
{ userId },
process.env.JWT_REFRESH_SECRET!,
{ expiresIn: '7d' } // Long-lived
);
return { accessToken, refreshToken };
}
// Verify JWT
function verifyToken(token: string): JWTPayload {
try {
return jwt.verify(token, process.env.JWT_SECRET!) as JWTPayload;
} catch (error) {
if (error instanceof jwt.TokenExpiredError) {
throw new Error('Token expired');
}
if (error instanceof jwt.JsonWebTokenError) {
throw new Error('Invalid token');
}
throw error;
}
}
// Middleware
function authenticate(req: Request, res: Response, next: NextFunction) {
const authHeader = req.headers.authorization;
if (!authHeader?.startsWith('Bearer ')) {
return res.status(401).json({ error: 'No token provided' });
}
const token = authHeader.substring(7);
try {
const payload = verifyToken(token);
req.user = payload; // Attach user to request
next();
} catch (error) {
return res.status(401).json({ error: 'Invalid token' });
}
}
// Usage
app.get('/api/profile', authenticate, (req, res) => {
res.json({ user: req.user });
});
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 635 lines · 46 tokens per session scan A bbc8c8de4a53
auth-implementation-patterns is a skill published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 46 tokens to every session and 4,015 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to auth-implementation-patterns, differing in 565 lines, and is treated as a copy.
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