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/hk-hub/agentskills/auth-implementation-patternsnpx skills add HK-hub/AgentSkills --skill auth-implementation-patternsgit clone --depth 1 https://github.com/HK-hub/AgentSkillsWrote 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/hk-hub/agentskills/auth-implementation-patterns)<a href="https://agentmods.dev/skills/hk-hub/agentskills/auth-implementation-patterns"><img src="https://agentmods.dev/badge/skills/hk-hub/agentskills/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 | $0.04019 |
| Opus 5 | $0.00023 | $0.02010 |
| Sonnet 5 | $0.00009 | $0.00804 |
| 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 3d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 648 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.
- 3d ago First seen · 648 lines · 46 tokens per session scan A 6a197f111b3c
auth-implementation-patterns is a skill published in the GitHub repository HK-hub/AgentSkills (6 stars, last pushed 16d ago), licensed MIT. It adds 46 tokens to every session and 4,019 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
minimax-h3-reference-video-prompt
Default downstream MiniMax H3 specialist for every image-based request unless the user explicitly declares boundary-only first/last frames with no reusable reference role. Use the official six-section full-reference format for character/person/object consistency, scene/style/action/camera/storyboard/voice/audio…
minimax-h3-keyframe-video-prompt
Narrow downstream MiniMax H3 specialist for pure I2VA, FL2VA, and L2VA boundary-frame prompts. Use only after minimax-h3-creative-director verifies that the user explicitly declared the images as literal first/last frames and that they have no character, identity, person, object, costume, scene, style, voice, action…
minimax-h3-multishot-planner
Non-skippable planning-only MiniMax H3 subskill used by minimax-h3-creative-director before final prompt formatting. Invoke when the user explicitly requests multiple shots, scenes, cuts, montage, or shot-by-shot design, or when a video of at least 10 seconds has no declared single-shot/multishot preference and the…
minimax-h3-text-video-prompt
Downstream MiniMax H3 specialist for professional text-to-video (T2VA) prompts using the official three-field format. Use after minimax-h3-creative-director routes a request with no image, video, or audio reference asset, or when this skill is explicitly invoked for a text-only idea, script, or storyboard requiring an…
minimax-h3-creative-director
Primary mandatory entrypoint for every MiniMax H3 video-generation request. Use before any other H3 skill for creation, animation, extension, editing, restyling, reference, or prompt review. It reads the official h3-prompt-writing specification, defaults image-based work to full-reference consistency, permits pure…
minimax-h3-prompt-reviewer
Downstream MiniMax H3 specialist that audits, repairs, and rewrites T2VA, I2VA, FL2VA, L2VA, and full-reference prompts into an official structured format. Use after minimax-h3-creative-director routes an existing prompt for diagnosis or repair, or when explicitly invoked for formatting, timeline, camera, dialogue…