Agent Ready Auth Md logo

Agent Ready Auth Md

Community
fabricioctelles
agent-ready-auth-md

Sub-skill: Implement Auth.md for agent registration discovery. Serve /auth.md with OAuth metadata at /.well-known/oauth-protected-resource and authorization server endpoints.

Overview

Publisherfabricioctelles
Repositoryskills
Skill nameagent-ready-auth-md
Stars
87
Forks
7
Bundled files
Instructions only
LicenseApache-2.0
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 fabricioctelles on GitHub. Read the source before you install it.

Installation

Install the Agent Ready Auth Md 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/fabricioctelles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/agent-ready-cloudflare/auth-md .claude/skills/agent-ready-auth-md
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Ready Auth Md 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 Agent Ready Auth Md 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 Agent Ready Auth Md 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.

Skill: Implement Auth.md Agent Registration Discovery

What This Skill Does

Helps a service publish Auth.md support for agent registration. Use this when a scanner reports the authMd check is failing or when adding the Auth.md standard to an API or application.

Requirements

  • Serve /auth.md from the service root as Markdown with an H1 heading that contains auth.md (for example, # auth.md or # Example auth.md).
  • Prefer publishing OAuth Protected Resource Metadata at /.well-known/oauth-protected-resource for the resource server.
  • Include resource, authorization_servers, scopes_supported, and bearer_methods_supported with header in the PRM document.
  • Publish OAuth Authorization Server metadata at each advertised authorization server's /.well-known/oauth-authorization-server URL.
  • Include a valid issuer in Authorization Server metadata and ensure it matches the issuer advertised in PRM.
  • Add an agent_auth block with skill, register_uri, and at least one complete registration method when Authorization Server metadata is available.
  • If OAuth metadata is not available, keep /auth.md self-contained: identify the agent audience, document registration or provisioning endpoint(s), list supported method(s), and explain credential use.

Flow Metadata

  • ID-JAG: include identity_types_supported: ["identity_assertion"], identity_assertion.assertion_types_supported with urn:ietf:params:oauth:token-type:id-jag, and credential types. Include revocation_uri and the revocation event in events_supported when supported; scanners may warn when they are omitted, but they are not required for detection.
  • Verified email: include identity_assertion.assertion_types_supported with verified_email, credential types, and claim_uri.
  • Anonymous: include identity_types_supported: ["anonymous"], anonymous.credential_types_supported, and claim_uri.

Notes

Do not probe POST /agent/auth during passive scans. Registration can create accounts, send email, or issue credentials. Public discovery documents are the safe source of truth.

Validate

http
POST https://isitagentready.com/api/scan
Content-Type: application/json

{"url": "https://YOUR-SITE.com"}

Check that checks.discovery.authMd.status is "pass".

References

Frequently asked questions

What does the Agent Ready Auth Md AI skill do?

Sub-skill: Implement Auth.md for agent registration discovery. Serve /auth.md with OAuth metadata at /.well-known/oauth-protected-resource and authorization server endpoints.

Why use Agent Ready Auth Md on TypingMind?

Because you install it once and use it with any model. Agent Ready Auth Md 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 Agent Ready Auth Md in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fabricioctelles/skills/tree/main/skills/agent-ready-cloudflare/auth-md. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Ready Auth Md?

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 Agent Ready Auth Md?

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

Is the Agent Ready Auth Md AI skill free?

Yes. It is published on GitHub by fabricioctelles under the Apache-2.0 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 👇