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Oauth

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mcollina
oauth

Implements OAuth 2.0/2.1 authorization flows in Fastify applications — configures authorization code with PKCE, client credentials, device flow, refresh token rotation, JWT validation, and token introspection/revocation endpoints. Use when setting up authentication, authorization, login flows, access tokens, API security, or securing Fastify routes with OAuth; also applies when troubleshooting token validation errors, mismatched redirect URIs, CSRF issues, scope problems, or RFC 6749/6750/7636/8252/8628 compliance questions.

Overview

Publishermcollina
Repositoryskills
Skill nameoauth
Stars
1.9K
Forks
149
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mcollina on GitHub. Read the source before you install it.

Installation

Install the Oauth AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mcollina/skills/tree/main/skills/oauth
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mcollina/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/oauth .claude/skills/oauth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oauth in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oauth on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oauth is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to use

Use this skill when you need to:

  • Implement or debug an OAuth 2.0/2.1 flow in a Fastify application
  • Validate tokens, configure PKCE, or set up refresh token rotation
  • Secure Fastify routes and plugins with access-control middleware
  • Resolve RFC compliance questions or identify security anti-patterns

Step-by-step: Authorization Code + PKCE in Fastify

1. Install dependencies

bash
npm install @fastify/oauth2 @fastify/cookie @fastify/session fastify-plugin

2. Register the OAuth plugin

typescript
// plugins/oauth.ts
import fp from 'fastify-plugin'
import oauth2, { OAuth2Namespace } from '@fastify/oauth2'
import { FastifyInstance } from 'fastify'

export default fp(async function (fastify: FastifyInstance) {
  fastify.register(oauth2, {
    name: 'oauth2',
    scope: ['openid', 'profile', 'email'],
    credentials: {
      client: {
        id: process.env.CLIENT_ID!,
        secret: process.env.CLIENT_SECRET!,
      },
      auth: {
        authorizeHost: process.env.AUTH_SERVER!,
        authorizePath: '/authorize',
        tokenHost: process.env.AUTH_SERVER!,
        tokenPath: '/token',
      },
    },
    startRedirectPath: '/login',
    callbackUri: process.env.CALLBACK_URI!,
    pkce: 'S256',               // RFC 7636 — always use for public clients
    generateStateFunction: (req) => req.session.state = crypto.randomUUID(),
    checkStateFunction: (req, callback) =>
      req.query.state === req.session.state ? callback() : callback(new Error('State mismatch')),
  })
})

Validation checkpoint: Confirm callbackUri exactly matches a registered redirect URI at the authorization server before proceeding (RFC 6749 §3.1.2).

3. Handle the callback and exchange the code

typescript
// routes/auth.ts
import { FastifyInstance } from 'fastify'

export default async function authRoutes(fastify: FastifyInstance) {
  fastify.get('/login/callback', async (request, reply) => {
    // @fastify/oauth2 verifies state and exchanges code automatically
    const tokenResponse = await fastify.oauth2.getAccessTokenFromAuthorizationCodeFlow(request)

    // Store only what you need; never log the raw token
    request.session.set('accessToken', tokenResponse.token.access_token)
    request.session.set('refreshToken', tokenResponse.token.refresh_token)

    return reply.redirect('/')
  })

  fastify.get('/logout', async (request, reply) => {
    await request.session.destroy()
    return reply.redirect('/')
  })
}

4. JWT validation middleware (token introspection hook)

typescript
// hooks/verifyToken.ts
import { FastifyRequest, FastifyReply } from 'fastify'
import jwt from '@fastify/jwt'

export async function verifyToken(request: FastifyRequest, reply: FastifyReply) {
  try {
    await request.jwtVerify()
    // Validate required claims (RFC 7519)
    const payload = request.user as Record<string, unknown>
    const now = Math.floor(Date.now() / 1000)

    if (typeof payload.exp === 'number' && payload.exp < now)
      return reply.code(401).send({ error: 'token_expired' })

    if (payload.iss !== process.env.EXPECTED_ISSUER)
      return reply.code(401).send({ error: 'invalid_issuer' })

    if (payload.aud !== process.env.EXPECTED_AUDIENCE)
      return reply.code(401).send({ error: 'invalid_audience' })

  } catch (err) {
    return reply.code(401).send({ error: 'invalid_token', error_description: (err as Error).message })
  }
}

Validation checkpoints:

  • Verify exp, iss, aud, and sub on every request — never skip (RFC 7519 §4)
  • Use fastify.jwt.verify (asymmetric RS256/ES256) rather than HS256 for tokens issued by a third-party server

5. Protecting routes

typescript
// routes/api.ts
import { FastifyInstance } from 'fastify'
import { verifyToken } from '../hooks/verifyToken'

export default async function apiRoutes(fastify: FastifyInstance) {
  fastify.addHook('onRequest', verifyToken)   // applies to all routes in this scope

  fastify.get('/me', {
    schema: {
      response: { 200: { type: 'object', properties: { sub: { type: 'string' } } } },
    },
  }, async (request) => {
    const user = request.user as { sub: string }
    return { sub: user.sub }
  })
}

6. Refresh token rotation

typescript
async function refreshAccessToken(fastify: FastifyInstance, refreshToken: string) {
  const newToken = await fastify.oauth2.getNewAccessTokenUsingRefreshTokenFlow({ refresh_token: refreshToken })

  // Always replace the stored refresh token if rotation is in use (RFC 6749 §10.4)
  return {
    accessToken: newToken.token.access_token,
    refreshToken: newToken.token.refresh_token ?? refreshToken,
  }
}

Security checklist

RequirementRFC reference
Validate redirect URI against allowlistRFC 6749 §3.1.2
PKCE (S256) for all public clientsRFC 7636 §4.2
Validate state to prevent CSRFRFC 6749 §10.12
Validate iss, aud, exp on every JWTRFC 7519 §4
Rotate refresh tokens on every useRFC 6749 §10.4
Use HTTPS everywhere; reject HTTP redirect URIsRFC 6749 §3.1.2.1
Rate-limit token endpointsOAuth 2.1 §7

Common anti-patterns

  • Storing tokens in localStorage — use HttpOnly, Secure, SameSite=Strict cookies instead
  • Skipping audience validation — allows token reuse across services
  • Using implicit flow — deprecated in OAuth 2.1; use authorization code + PKCE
  • Accepting response_type=token in browser apps — tokens in URL fragments leak in logs/referrers
  • Symmetric signing (HS256) for third-party tokens — use RS256/ES256 with JWKS endpoint

Further implementation references

  • See DEVICE_FLOW.md for device authorization flow (RFC 8628) implementation
  • See TOKEN_VALIDATION.md for JWKS rotation, caching strategies, and opaque token introspection
  • See CLIENT_CREDENTIALS.md for machine-to-machine service authentication patterns
  • See MOBILE_OAUTH.md for native/mobile app flows (RFC 8252) and custom URI schemes

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Oauth AI skill do?

Implements OAuth 2.0/2.1 authorization flows in Fastify applications — configures authorization code with PKCE, client credentials, device flow, refresh token rotation, JWT validation, and token introspection/revocation endpoints. Use when setting up authentication, authorization, login flows, access tokens, API security, or securing Fastify routes with OAuth; also applies when troubleshooting token validation errors, mismatched redirect URIs, CSRF issues, scope problems, or RFC 6749/6750/7636/8252/8628 compliance questions.

Why use Oauth on TypingMind?

Because you install it once and use it with any model. Oauth is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oauth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mcollina/skills/tree/main/skills/oauth. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Oauth?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oauth?

As many as you like. As long as a model supports skills, you can use Oauth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oauth AI skill free?

Yes. It is published on GitHub by mcollina under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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