Agent Ready Scan Site

Community

fabricioctelles

agent-ready-scan-site

Sub-skill: Scan any URL for agent readiness. Checks 22 standards across 5 categories, returns readiness level (0-5), status of all checks, and fix instructions.

Overview

Publisher	fabricioctelles
Repository	`skills`
Skill name	`agent-ready-scan-site`
Stars	87
Forks	7
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/fabricioctelles/skills/tree/main/skills/agent-ready-cloudflare/scan-site

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/scan-site .claude/skills/agent-ready-scan-site

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Ready Scan Site 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 Scan Site 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 Scan Site 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: Scan Site for Agent Readiness

What This Skill Does

Scans any website URL and checks whether it implements the standards and protocols that make it accessible to AI agents. Checks 22 standards across 5 categories: discoverability, content accessibility, bot access control, API/auth/MCP discovery, and commerce. Returns a readiness level (0-5), the status of all 22 checks, and fix instructions for any failing checks.

When to Use It

Checking whether a site supports agent protocols (MCP, robots.txt, Link headers, etc.)
Debugging why a site is missing specific agent-readiness checks
Getting actionable fix instructions to improve a site's agent readiness
Comparing agent readiness across multiple sites

How to Call It

Send a POST request to the scan API:


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

{"url": "https://example.com", "format": "agent"}

Parameters

url (required): The URL to scan. Must be a valid HTTP or HTTPS URL.
format (optional): Set to "agent" for a markdown response with fix instructions, or "json" (default) for structured data.

Using the MCP Server

Alternatively, connect to the MCP server at:


https://isitagentready.com/mcp

Call the scan_site tool with a url parameter.

How to Interpret Results

JSON Format

The response includes:

level: Integer 0-5 indicating overall readiness
levelName: Human-readable level name (e.g., "Agent-Readable")
checks: Object with 5 categories, each containing individual check results
nextLevel: What's needed to reach the next level
Each check has status ("pass", "fail", or "unableToCheck") and a message

Agent Format

Returns a markdown document listing:

The site's current score (e.g., "3/5 Agent-Readable")
All failing checks with descriptions and fix instructions
If all checks pass, a confirmation message

Level Scale

Level	Name	Key Requirements
0	Not Ready	Fewer than 2 of: robots.txt, sitemap, Link headers
1	Basic Web Presence	2 of 3: robots.txt, sitemap, Link headers
2	Bot-Aware	Level 1 + both: AI bot rules in robots.txt, Content Signals
3	Agent-Readable	Level 2 + markdown content negotiation
4	Agent-Integrated	Level 3 + 1 of 4: MCP Server Card, A2A Agent Card, agent skills, API catalog
5	Agent-Native	Level 4 + 2 of 3: Web Bot Auth, all integrations, auth metadata (OAuth or Auth.md)

Frequently asked questions

What does the Agent Ready Scan Site AI skill do?

Sub-skill: Scan any URL for agent readiness. Checks 22 standards across 5 categories, returns readiness level (0-5), status of all checks, and fix instructions.

Why use Agent Ready Scan Site on TypingMind?

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

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

Which AI models can use Agent Ready Scan Site?

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 Scan Site?

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

Is the Agent Ready Scan Site 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.

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Finishing A Development Branch

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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: Scan Site for Agent Readiness

What This Skill Does

When to Use It

How to Call It

Parameters

Using the MCP Server

How to Interpret Results

JSON Format

Agent Format

Level Scale

Frequently asked questions

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