Oauth 2 0 Setup logo

Oauth 2 0 Setup

Community
seb1n
oauth-2-0-setup

Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration. Use when the user requests oauth 2 0 setup or provides relevant inputs for this workflow.

Overview

Publisherseb1n
Repositoryawesome-ai-agent-skills
Skill nameoauth-2-0-setup
Stars
188
Forks
35
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by seb1n on GitHub. Read the source before you install it.

Installation

Install the Oauth 2 0 Setup 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.
  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/seb1n/awesome-ai-agent-skills.git /tmp/awesome-ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-ai-agent-skills/api-and-integration/oauth-2-0-setup .claude/skills/oauth-2-0-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oauth 2 0 Setup 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 2 0 Setup 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 2 0 Setup 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.

OAuth 2.0 Setup

This skill enables an AI agent to implement OAuth 2.0 authentication for API integrations. The agent selects the appropriate grant type for the use case—authorization code with PKCE for user-facing apps, client credentials for machine-to-machine auth, and device code for input-limited devices. It handles token storage, refresh token rotation, CSRF protection via the state parameter, and secure credential management throughout the flow.

Workflow

  1. Select the appropriate grant type: Choose the OAuth 2.0 flow based on the client type. Use authorization code with PKCE for web and mobile apps where a user is present—PKCE replaces the client secret and prevents authorization code interception attacks. Use client credentials for server-to-server communication with no user context. Use device code flow for CLI tools or smart TVs where browser-based login isn't possible. Implicit flow is deprecated and should not be used.

  2. Register the application with the provider: Create an OAuth application in the provider's developer console (Google, GitHub, Auth0, etc.). Configure the redirect URI precisely—mismatched URIs are the most common setup error. For PKCE flows, mark the application as a public client. Record the client ID, client secret (if applicable), authorization endpoint, token endpoint, and scopes.

  3. Implement the authorization request: Construct the authorization URL with the required parameters: client_id, redirect_uri, response_type=code, scope, and a cryptographically random state parameter for CSRF protection. For PKCE, generate a random code_verifier (43-128 characters), derive the code_challenge using SHA-256, and include both code_challenge and code_challenge_method=S256 in the request. Store the state and code_verifier in the session.

  4. Handle the callback and exchange tokens: When the provider redirects back with the authorization code, first verify the state parameter matches what was stored in the session. Then exchange the code for tokens by POSTing to the token endpoint with grant_type=authorization_code, the authorization code, redirect_uri, client_id, and the code_verifier (for PKCE). Parse the response for access_token, refresh_token, expires_in, and token_type.

  5. Store tokens securely: Never store tokens in localStorage (XSS vulnerable) or URL parameters (logged in server access logs). Use HTTP-only secure cookies for web apps, the system keychain for desktop apps, and encrypted storage for mobile apps. Store refresh tokens server-side when possible. Record token expiration timestamps so you can proactively refresh before expiry.

  6. Implement token refresh and rotation: Before each API call, check if the access token is expired or about to expire (within a 60-second window). If so, use the refresh token to get a new access token. Handle refresh token rotation—when the provider issues a new refresh token alongside the new access token, store the new refresh token and invalidate the old one. If refresh fails with an invalid_grant error, the user must re-authenticate.

Supported Technologies

  • Providers: Auth0, Google, GitHub, Microsoft Entra ID, Okta, AWS Cognito, Keycloak
  • Server frameworks: Express.js, FastAPI, Django, Spring Security, ASP.NET Core
  • Libraries: passport.js (Node.js), authlib (Python), oauthlib (Python), Spring Security OAuth
  • Token formats: JWT (self-contained), opaque tokens (require introspection)
  • Standards: RFC 6749 (OAuth 2.0), RFC 7636 (PKCE), RFC 8628 (Device Code), RFC 9449 (DPoP)

Usage

Provide the agent with the OAuth provider, the type of application (web app, SPA, CLI, server-to-server), and the required scopes. The agent will select the correct grant type and produce a complete implementation including the authorization flow, token exchange, secure storage, and refresh logic.

Examples

Example 1: Authorization Code Flow with PKCE (Node.js/Express)

javascript
const express = require("express");
const crypto = require("crypto");
const session = require("express-session");

const app = express();
app.use(session({
  secret: process.env.SESSION_SECRET,
  resave: false,
  saveUninitialized: false,
  cookie: { secure: true, httpOnly: true, sameSite: "lax", maxAge: 3600000 },
}));

const OAUTH_CONFIG = {
  clientId: process.env.OAUTH_CLIENT_ID,
  authorizationEndpoint: "https://accounts.google.com/o/oauth2/v2/auth",
  tokenEndpoint: "https://oauth2.googleapis.com/token",
  redirectUri: "https://myapp.com/auth/callback",
  scopes: ["openid", "email", "profile"],
};

// Generate PKCE code verifier and challenge
function generatePKCE() {
  const verifier = crypto.randomBytes(32).toString("base64url");
  const challenge = crypto
    .createHash("sha256")
    .update(verifier)
    .digest("base64url");
  return { verifier, challenge };
}

// Step 1: Start authorization — redirect user to provider
app.get("/auth/login", (req, res) => {
  const state = crypto.randomBytes(16).toString("hex");
  const { verifier, challenge } = generatePKCE();

  // Store in session for verification on callback
  req.session.oauthState = state;
  req.session.codeVerifier = verifier;

  const params = new URLSearchParams({
    client_id: OAUTH_CONFIG.clientId,
    redirect_uri: OAUTH_CONFIG.redirectUri,
    response_type: "code",
    scope: OAUTH_CONFIG.scopes.join(" "),
    state: state,
    code_challenge: challenge,
    code_challenge_method: "S256",
    access_type: "offline",  // Request refresh token
    prompt: "consent",
  });

  res.redirect(`${OAUTH_CONFIG.authorizationEndpoint}?${params}`);
});

// Step 2: Handle callback — verify state and exchange code for tokens
app.get("/auth/callback", async (req, res) => {
  const { code, state, error } = req.query;

  if (error) {
    console.error(`OAuth error: ${error}`);
    return res.redirect("/auth/error");
  }

  // CSRF protection: verify state matches
  if (state !== req.session.oauthState) {
    console.error("State mismatch — possible CSRF attack");
    return res.status(403).send("Invalid state parameter");
  }

  try {
    const tokenResponse = await fetch(OAUTH_CONFIG.tokenEndpoint, {
      method: "POST",
      headers: { "Content-Type": "application/x-www-form-urlencoded" },
      body: new URLSearchParams({
        grant_type: "authorization_code",
        code: code,
        redirect_uri: OAUTH_CONFIG.redirectUri,
        client_id: OAUTH_CONFIG.clientId,
        code_verifier: req.session.codeVerifier,
      }),
    });

    if (!tokenResponse.ok) {
      const err = await tokenResponse.json();
      throw new Error(`Token exchange failed: ${err.error_description || err.error}`);
    }

    const tokens = await tokenResponse.json();

    // Store tokens securely in session (server-side)
    req.session.accessToken = tokens.access_token;
    req.session.refreshToken = tokens.refresh_token;
    req.session.tokenExpiry = Date.now() + tokens.expires_in * 1000;

    // Clean up PKCE and state from session
    delete req.session.oauthState;
    delete req.session.codeVerifier;

    res.redirect("/dashboard");
  } catch (err) {
    console.error("Token exchange error:", err.message);
    res.redirect("/auth/error");
  }
});

// Token refresh middleware
async function ensureValidToken(req, res, next) {
  if (!req.session.accessToken) {
    return res.redirect("/auth/login");
  }

  // Refresh if token expires within 60 seconds
  if (Date.now() > req.session.tokenExpiry - 60000) {
    try {
      const refreshResponse = await fetch(OAUTH_CONFIG.tokenEndpoint, {
        method: "POST",
        headers: { "Content-Type": "application/x-www-form-urlencoded" },
        body: new URLSearchParams({
          grant_type: "refresh_token",
          refresh_token: req.session.refreshToken,
          client_id: OAUTH_CONFIG.clientId,
        }),
      });

      if (!refreshResponse.ok) throw new Error("Refresh failed");

      const tokens = await refreshResponse.json();
      req.session.accessToken = tokens.access_token;
      req.session.tokenExpiry = Date.now() + tokens.expires_in * 1000;
      // Handle refresh token rotation
      if (tokens.refresh_token) {
        req.session.refreshToken = tokens.refresh_token;
      }
    } catch {
      // Refresh token is invalid — user must re-authenticate
      req.session.destroy();
      return res.redirect("/auth/login");
    }
  }
  next();
}

app.get("/dashboard", ensureValidToken, async (req, res) => {
  const profile = await fetch("https://www.googleapis.com/oauth2/v2/userinfo", {
    headers: { Authorization: `Bearer ${req.session.accessToken}` },
  });
  const user = await profile.json();
  res.json({ message: `Welcome, ${user.name}` });
});

app.listen(3000);

Example 2: Client Credentials Flow (Machine-to-Machine)

python
import os
import time
import threading
import requests

class ClientCredentialsAuth:
    """OAuth 2.0 client credentials flow for server-to-server auth.

    Manages token lifecycle with thread-safe caching and automatic refresh.
    """

    def __init__(self, token_endpoint: str, client_id: str, client_secret: str,
                 scopes: list[str] | None = None):
        self.token_endpoint = token_endpoint
        self.client_id = client_id
        self.client_secret = client_secret
        self.scopes = scopes or []
        self._access_token: str | None = None
        self._token_expiry: float = 0
        self._lock = threading.Lock()

    def get_access_token(self) -> str:
        """Get a valid access token, refreshing if necessary."""
        with self._lock:
            if self._access_token and time.time() < self._token_expiry - 60:
                return self._access_token
            return self._fetch_new_token()

    def _fetch_new_token(self) -> str:
        response = requests.post(
            self.token_endpoint,
            data={
                "grant_type": "client_credentials",
                "client_id": self.client_id,
                "client_secret": self.client_secret,
                "scope": " ".join(self.scopes),
            },
            headers={"Content-Type": "application/x-www-form-urlencoded"},
            timeout=10,
        )
        response.raise_for_status()
        token_data = response.json()

        self._access_token = token_data["access_token"]
        self._token_expiry = time.time() + token_data.get("expires_in", 3600)
        return self._access_token

    def authorized_request(self, method: str, url: str, **kwargs) -> requests.Response:
        """Make an HTTP request with automatic bearer token injection."""
        token = self.get_access_token()
        headers = kwargs.pop("headers", {})
        headers["Authorization"] = f"Bearer {token}"
        return requests.request(method, url, headers=headers, **kwargs)


# Usage
auth = ClientCredentialsAuth(
    token_endpoint="https://auth.example.com/oauth/token",
    client_id=os.environ["M2M_CLIENT_ID"],
    client_secret=os.environ["M2M_CLIENT_SECRET"],
    scopes=["read:data", "write:data"],
)

# Token is fetched automatically and cached
response = auth.authorized_request("GET", "https://api.example.com/v1/reports")
print(response.json())

# Subsequent calls reuse the cached token until it nears expiry
response = auth.authorized_request("POST", "https://api.example.com/v1/exports", json={
    "format": "csv",
    "date_range": "2024-01-01/2024-12-31",
})
print(f"Export started: {response.json()['export_id']}")

Best Practices

  • Always use PKCE for authorization code flows, even for confidential clients. It adds defense in depth against code interception at zero cost. The implicit flow is deprecated—do not use it.
  • Validate the state parameter on every callback before processing the authorization code. This is your primary defense against CSRF attacks. Use a cryptographically random value of at least 128 bits.
  • Store tokens server-side whenever possible. For web apps, keep tokens in the server session and use HTTP-only, secure, SameSite cookies for the session ID. Never expose access tokens to client-side JavaScript.
  • Implement refresh token rotation so that each refresh token can only be used once. When you receive a new refresh token in a token response, immediately replace the old one. If a rotated token is reused, treat it as a compromise and revoke all tokens for that session.
  • Request minimum scopes and use incremental authorization when available. Start with the least privilege and request additional scopes only when the user performs an action that needs them.
  • Set short access token lifetimes (5-15 minutes for sensitive APIs) and rely on refresh tokens for longevity. This limits the damage window if an access token is leaked.

Edge Cases

  • Refresh token expiry: Refresh tokens can expire or be revoked. When a refresh attempt returns invalid_grant, destroy the session and redirect the user to re-authenticate. Do not retry indefinitely.
  • Concurrent refresh requests: If multiple threads try to refresh the token simultaneously, only one should perform the refresh while others wait. Use a mutex or single-flight pattern to prevent multiple refresh requests racing and invalidating each other's tokens.
  • Provider outages: If the token endpoint is unreachable, continue using the current access token if it hasn't expired yet. Queue retries for token refresh with exponential backoff rather than failing immediately.
  • Clock skew: Token expiration checks depend on accurate clocks. Add a buffer (30-60 seconds) when checking expiry to account for clock differences between your server and the OAuth provider.
  • Redirect URI mismatch: OAuth providers require exact redirect URI matching. Ensure your registered URI matches exactly, including the protocol, port, and trailing slash. Mismatches cause silent failures that are hard to debug.
  • Token leakage in logs: Access tokens appearing in logs, error messages, or URLs are a common vulnerability. Redact tokens in all logging middleware. Never pass tokens as URL query parameters—use Authorization headers exclusively.

Frequently asked questions

What does the Oauth 2 0 Setup AI skill do?

Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration. Use when the user requests oauth 2 0 setup or provides relevant inputs for this workflow.

Why use Oauth 2 0 Setup on TypingMind?

Because you install it once and use it with any model. Oauth 2 0 Setup 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 2 0 Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/seb1n/awesome-ai-agent-skills/tree/main/api-and-integration/oauth-2-0-setup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oauth 2 0 Setup?

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 2 0 Setup?

As many as you like. As long as a model supports skills, you can use Oauth 2 0 Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oauth 2 0 Setup AI skill free?

Yes. It is published on GitHub by seb1n 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇