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Oauth Setup

OrganizationPopular
spinabot
oauth-setup

Connect an OAuth 2.0 service (Gmail, Google APIs, etc.) using the built-in oauth_authorize tool — get a click-to-authorize link, auto-capture the code, and seal the tokens. Use whenever the operator asks to connect Gmail / a Google API / any OAuth account.

Overview

Publisherspinabot
Repositorybrigade
Skill nameoauth-setup
Stars
4.4K
Forks
50
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 spinabot on GitHub. Read the source before you install it.

Installation

Install the Oauth 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/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/oauth-setup .claude/skills/oauth-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oauth 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 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 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 setup

Use the oauth_authorize tool — NEVER hand-roll an http listener in bash. It opens a one-shot loopback listener on a free port (no EADDRINUSE, no port juggling), captures the code, and seals the tokens into the credential store.

The two mistakes to avoid (they cost a whole session once)

  1. Use a Desktop-app OAuth client, not a Web client. In Google Cloud Console → Credentials → Create OAuth client ID → Application type: Desktop app. Desktop clients accept ANY http://127.0.0.1:<port> loopback redirect with no redirect-URI registration. A Web client requires the exact redirect URI pre-registered, which is what causes redirect_uri_mismatch.
  2. Use the real scope. Gmail send is https://www.googleapis.com/auth/gmail.send (NOT https://gmail.com/..., which doesn't exist). Add openid https://www.googleapis.com/auth/userinfo.email if you want the account address auto-filled.

Flow

  1. Ask the operator to create a Desktop-app OAuth client (Gmail API enabled, consent screen in Testing with themselves as a test user) and paste the client id + secret.
  2. Start the flow:
    oauth_authorize({
      action: "start",
      provider: "google-gmail",
      authorizationEndpoint: "https://accounts.google.com/o/oauth2/v2/auth",
      tokenEndpoint: "https://oauth2.googleapis.com/token",
      userInfoEndpoint: "https://www.googleapis.com/oauth2/v3/userinfo",
      clientId: "<id>", clientSecret: "<secret>",
      scopes: ["https://www.googleapis.com/auth/gmail.send", "openid", "https://www.googleapis.com/auth/userinfo.email"],
      extraAuthParams: { access_type: "offline", prompt: "consent" }
    })
    access_type=offline + prompt=consent are required for a refresh token (otherwise re-auth is needed when the access token expires).
  3. Send the operator the returned authUrl to click.
  4. Await the redirect — it exchanges the code and seals the tokens:
    oauth_authorize({ action: "await", flowId: "<flowId from start>" })
    If it returns status pending, the operator hasn't clicked yet — tell them, then call await again.

Using a connected account (sending mail)

The tokens are sealed in the credential store — you can't read them from a file or the DB, and you shouldn't try. To use a connected account:

  1. Check what's connected: oauth_authorize({ action: "status" }) → lists each account (provider, email, scopes, expiry). No secrets.
  2. Get a usable token: oauth_authorize({ action: "token", provider: "google-gmail" }) → returns accessToken. It auto-refreshes from the sealed refresh token when the old one expired, so you always get a live token. (Pass provider only if more than one account is connected.)
  3. Call the API with it. Gmail send: POST https://gmail.googleapis.com/gmail/v1/users/me/messages/send, header Authorization: Bearer <accessToken>, body { "raw": "<base64url RFC-822 message>" }.

Never cat the credential store, grep for the token, or hand-roll a refresh — action:"token" is the only retrieval path, and it keeps the refresh token + client secret sealed.

Frequently asked questions

What does the Oauth Setup AI skill do?

Connect an OAuth 2.0 service (Gmail, Google APIs, etc.) using the built-in oauth_authorize tool — get a click-to-authorize link, auto-capture the code, and seal the tokens. Use whenever the operator asks to connect Gmail / a Google API / any OAuth account.

Why use Oauth Setup on TypingMind?

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

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

Which AI models can use Oauth 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 Setup?

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

Is the Oauth Setup AI skill free?

Yes. It is published on GitHub by spinabot 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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