authentication-setup

authentication-setup is a skill for Claude Code, Codex from autohandai/community-skills. It costs 44 tokens per session (4,645 once invoked), scanned A, original, Apache-2.0.

A guide for designing user login and access control, including JWT tokens, OAuth, sessions, single sign-on, and role-based permissions. These are common ways to verify users and decide what they may access.

In plain words
What is it for?
Use it to plan or implement login systems, secure REST or GraphQL APIs, add roles, migrate authentication methods, and connect providers such as Google, GitHub, or Microsoft.
Why use it?
It helps prevent inconsistent or unsafe authentication code when an application needs secure login, tokens, permissions, or social sign-in.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan or implement login systems, secure REST or GraphQL APIs, add roles, migrate authentication methods, and connect providers such as Google, GitHub, or Microsoft.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autohandai/community-skills/authentication-setup
Install

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.

Any agent
npx skills add autohandai/community-skills --skill authentication-setup
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for authentication-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/authentication-setup/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/authentication-setup)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/authentication-setup"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/authentication-setup/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for authentication-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/authentication-setup"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/authentication-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,645 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.04645
Opus 5 $0.00022 $0.02322
Sonnet 5 $0.00009 $0.00929
Haiku 4.5 $0.00004 $0.00464

Measured 5d ago against content hash 3c612477d65b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

authentication-setup 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 5d 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.

authentication-setup/SKILL.md · 667 lines

How it starts

The opening of the file, as written. The whole thing — 667 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authentication Setup

When to use this skill

Lists specific situations where this skill should be triggered:

  • User Login System: When adding user authentication to a new application
  • API Security: When adding an authentication layer to a REST or GraphQL API
  • Permission Management: When role-based access control is needed
  • Authentication Migration: When migrating an existing auth system to JWT or OAuth
  • SSO Integration: When integrating social login with Google, GitHub, Microsoft, etc.

Input Format

The required and optional input information to collect from the user:

Required Information

  • Authentication Method: Choose from JWT, Session, or OAuth 2.0
  • Backend Framework: Express, Django, FastAPI, Spring Boot, etc.
  • Database: PostgreSQL, MySQL, MongoDB, etc.
  • Security Requirements: Password policy, token expiry times, etc.

Optional Information

  • MFA Support: Whether to enable 2FA/MFA (default: false)
  • Social Login: OAuth providers (Google, GitHub, etc.)
  • Session Storage: Redis, in-memory, etc. (if using sessions)
  • Refresh Token: Whether to use (default: true)

Input Example

Build a user authentication system:
- Auth method: JWT
- Framework: Express.js + TypeScript
- Database: PostgreSQL
- MFA: Google Authenticator support
- Social login: Google, GitHub
- Refresh Token: enabled

Instructions

Specifies the step-by-step task sequence to follow precisely.

Step 1: Design the Data Model

Design the database schema for users and authentication.

Tasks:

  • Design the User table (id, email, password_hash, role, created_at, updated_at)
  • RefreshToken table (optional)
  • OAuthProvider table (if using social login)
  • Never store passwords in plaintext (bcrypt/argon2 hashing is mandatory)

Example (PostgreSQL):

CREATE TABLE users (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    email VARCHAR(255) UNIQUE NOT NULL,
    password_hash VARCHAR(255),  -- NULL if OAuth only
    role VARCHAR(50) DEFAULT 'user',
    is_verified BOOLEAN DEFAULT false,
    mfa_secret VARCHAR(255),
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);

CREATE TABLE refresh_tokens (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    user_id UUID REFERENCES users(id) ON DELETE CASCADE,
    token VARCHAR(500) UNIQUE NOT NULL,
    expires_at TIMESTAMP NOT NULL,
    created_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_refresh_tokens_user_id ON refresh_tokens(user_id);

Read the full file on GitHub · 667 lines

Changes

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.

  1. 5d ago First seen · 667 lines · 44 tokens per session scan A 3c612477d65b

Subscribe to this mod's changes

authentication-setup is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 4,645 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 2026-09-03.

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