Проанализированный URL
https://grapheneos.org
Измерено 2 недели назад
Оценка AI-Ready
Удовлетворительно
из 100
Экономия токенов
Разбивка оценки
Новые протоколы
Обнаружено 0 из 6Well-known эндпоинты, которые ищут ИИ-агенты. Обнаружено — значит агент может автоматически найти и подключиться к вашему сервису.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
Само это не удержится. Мониторинга пока нет — запишитесь, и мы сообщим, когда он появится.
Вы в списке! Мы уведомим вас о запуске.
Что мы измерили No llms.txt found
На вашем сайте нет файла llms.txt. Это формирующийся стандарт для помощи ИИ-агентам в понимании структуры вашего сайта.
Как внедрить
Создайте файл /llms.txt в соответствии со спецификацией llmstxt.org. Включите описание сайта и ссылки на ваши ключевые страницы.
Что мы измерили No Markdown for Agents support detected
Ваш сайт не поддерживает Markdown for Agents. Этот стандарт Cloudflare позволяет ИИ-агентам запрашивать контент в формате markdown, сокращая использование токенов на ~80%.
Как внедрить
Реализуйте одно или несколько: (1) Отвечать на Accept: text/markdown контентом в формате markdown. (2) Обслуживать URL с .md (например, /page.md). (3) Добавить теги <link rel="alternate" type="text/markdown">. (4) Добавить HTTP-заголовки Link для обнаружения markdown.
Что мы измерили No Content-Signal found (robots.txt or HTTP headers)
Директивы Content-Signal не найдены. Они сообщают ИИ-агентам, как можно использовать ваш контент (поисковая индексация, ИИ-ввод, данные для обучения). Рекомендуемое расположение — robots.txt.
Как внедрить
Добавьте Content-Signal в ваш robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Также можно добавить как HTTP-заголовок в markdown-ответах.
Что мы измерили 0/4 images with meaningful alt text
Некоторые изображения не имеют описательного альтернативного текста. Хорошие alt-тексты помогают ИИ-агентам понять содержание и контекст изображений.
Как внедрить
Добавьте описательные атрибуты alt ко всем изображениям. Описывайте то, что показано на изображении, а не просто «изображение» или «фото». Для декоративных изображений используйте alt="" (пустой).
Что мы измерили No JSON-LD / Schema.org found
Структурированные данные Schema.org не найдены. JSON-LD помогает ИИ-агентам извлекать фактическую, структурированную информацию из ваших страниц.
Как внедрить
Добавьте блок <script type="application/ld+json"> с разметкой Schema.org. Используйте подходящие типы: Article для статей блога, Product для страниц товаров, Organization для страницы компании.
The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project. [Install GrapheneOS](https://grapheneos.org/install/)  ## [About](https://grapheneos.org/#about) GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados). GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX. The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page. Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/). GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS. ## [No Google apps or services](https://grapheneos.org/#never-google-services) GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps. ## [Device support](https://grapheneos.org/faq#device-support) See [the FAQ section on device support](https://grapheneos.org/faq#device-support).
GrapheneOS: the private and secure mobile OS # [GrapheneOS](https://grapheneos.org/#grapheneos) The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project. [Install GrapheneOS](https://grapheneos.org/install/)  Get to know GrapheneOS ## [About](https://grapheneos.org/#about) GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados). GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX. The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page. Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/). GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS. ## [No Google apps or services](https://grapheneos.org/#never-google-services) GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps. ## [Device support](https://grapheneos.org/faq#device-support) See [the FAQ section on device support](https://grapheneos.org/faq#device-support).
Загрузите этот файл как /index.md на ваш сервер, чтобы ИИ-агенты могли получить доступ к чистой версии вашей страницы. Вы также можете настроить согласование контента Accept: text/markdown для автоматической отдачи.
Сгенерированный llms.txt для этой отдельной страницы
# GrapheneOS > GrapheneOS is a security and privacy focused mobile OS with Android app compatibility. ## Documentation - [FAQ](https://grapheneos.org/faq) ## Main - [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility. - [Features](https://grapheneos.org/features) - [GrapheneOS](https://grapheneos.org/) - [Install](https://grapheneos.org/install/) - [Build](https://grapheneos.org/build) - [Usage](https://grapheneos.org/usage) - [Releases](https://grapheneos.org/releases) - [Source](https://grapheneos.org/source) - [History](https://grapheneos.org/history/) - [Donate](https://grapheneos.org/donate) ## Blog - [Articles](https://grapheneos.org/articles/) ## Support - [FAQ](https://grapheneos.org/faq) - [Contact](https://grapheneos.org/contact)
Полный llms.txt требует анализа всего домена (скоро появится)
Загрузите этот файл по адресу https://grapheneos.org/llms.txt в корень вашего домена. ИИ-агенты, такие как ChatGPT, Claude и Perplexity, проверяют этот файл для понимания структуры вашего сайта.
Семантический HTML
Has <main>
Clean heading hierarchy
8 semantic elements, 5 divs (ratio: 62%)
0/4 images with meaningful alt text
Avg div depth: 0.4, max: 1
Эффективность контента
61% token reduction (HTML→Markdown)
Content ratio: 41.1% (2876 content chars / 6997 HTML bytes)
0/124 elements with inline styles (0.0%)
HTML size: 7KB
Обнаруживаемость ИИ
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Структурированные данные
No JSON-LD / Schema.org found
All OG tags present
Meta description: 86 chars
Canonical URL present
lang="en"
Доступность
Content available without JavaScript
Page size: 7KB
Main content starts at 33% of HTML
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"llmsTxtPreview": "# GrapheneOS\n\n> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n\n## Documentation\n- [FAQ](https://grapheneos.org/faq)\n\n## Main\n- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n- [Features](https://grapheneos.org/features)\n- [GrapheneOS](https://grapheneos.org/)\n- [Install](https://grapheneos.org/install/)\n- [Build](https://grapheneos.org/build)\n- [Usage](https://grapheneos.org/usage)\n- [Releases](https://grapheneos.org/releases)\n- [Source](https://grapheneos.org/source)\n- [History](https://grapheneos.org/history/)\n- [Donate](https://grapheneos.org/donate)\n\n## Blog\n- [Articles](https://grapheneos.org/articles/)\n\n## Support\n- [FAQ](https://grapheneos.org/faq)\n- [Contact](https://grapheneos.org/contact)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthDiscovery": {
"exists": false,
"url": "https://grapheneos.org/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://grapheneos.org/.well-known/mcp.json"
},
"a2aAgentCard": {
"exists": false,
"url": "https://grapheneos.org/.well-known/agent.json"
},
"count": 0
},
"snippets": [
{
"id": "add_llms_txt",
"title": "Create /llms.txt",
"description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
"language": "markdown",
"code": "# GrapheneOS\n\n> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n\n## Documentation\n- [FAQ](https://grapheneos.org/faq)\n\n## Main\n- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n- [Features](https://grapheneos.org/features)\n- [GrapheneOS](https://grapheneos.org/)\n- [Install](https://grapheneos.org/install/)\n- [Build](https://grapheneos.org/build)\n- [Usage](https://grapheneos.org/usage)\n- [Releases](https://grapheneos.org/releases)\n- [Source](https://grapheneos.org/source)\n- [History](https://grapheneos.org/history/)\n- [Donate](https://grapheneos.org/donate)\n\n## Blog\n- [Articles](https://grapheneos.org/articles/)\n\n## Support\n- [FAQ](https://grapheneos.org/faq)\n- [Contact](https://grapheneos.org/contact)\n\n",
"filename": "/llms.txt"
},
{
"id": "add_schema_org",
"title": "Add Schema.org JSON-LD",
"description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
"language": "html",
"code": "<script type=\"application/ld+json\">\n{\n \"@context\": \"https://schema.org\",\n \"@type\": \"WebPage\",\n \"name\": \"GrapheneOS: the private and secure mobile OS\",\n \"description\": \"GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\",\n \"url\": \"https://grapheneos.org\",\n \"inLanguage\": \"en\",\n \"isPartOf\": {\n \"@type\": \"WebSite\",\n \"name\": \"GrapheneOS\"\n }\n}\n</script>",
"filename": "<head>"
},
{
"id": "add_content_signals",
"title": "Add Content-Signal directives",
"description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
"language": "txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
"filename": "/robots.txt",
"stacks": [
{
"id": "robots",
"label": "robots.txt",
"language": "txt",
"filename": "/robots.txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
},
{
"id": "nginx",
"label": "Nginx",
"language": "nginx",
"filename": "server block",
"code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
},
{
"id": "apache",
"label": "Apache",
"language": "apache",
"filename": ".htaccess",
"code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "middleware.ts",
"code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n const res = NextResponse.next();\n res.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return res;\n}\nexport const config = { matcher: '/:path*' };"
},
{
"id": "cloudflare",
"label": "Cloudflare Workers",
"language": "javascript",
"filename": "worker.js",
"code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n async fetch(request, env, ctx) {\n const res = await fetch(request);\n const newRes = new Response(res.body, res);\n newRes.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return newRes;\n },\n};"
},
{
"id": "express",
"label": "Express / Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Express\napp.use((req, res, next) => {\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"
}
]
},
{
"id": "add_markdown_negotiation",
"title": "Support Markdown for Agents",
"description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
"language": "html",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
},
{
"id": "express",
"label": "Express",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"
},
{
"id": "fastify",
"label": "Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page/route.ts",
"code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n if (!is_singular()) return;\n $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n if (strpos($accept, 'text/markdown') === false) return;\n header('Content-Type: text/markdown; charset=utf-8');\n header('Vary: Accept');\n $post = get_queried_object();\n echo \"# \" . get_the_title($post) . \"\\n\\n\";\n echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n exit;\n});"
},
{
"id": "static",
"label": "Hugo / Jekyll / Astro",
"language": "txt",
"filename": "static/page.md",
"code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n# <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
}
]
}
]
}
Используйте наш API для программного получения данных (скоро появится)
Этот JSON предназначен для внутреннего использования — в отличие от файлов Markdown и llms.txt, его не нужно загружать на ваш сайт. Сохраните его как базовый показатель для отслеживания оценки со временем, поделитесь с командой разработчиков или интегрируйте в ваш CI/CD-конвейер.
Поделитесь результатами
Или попросите ИИ помочь это исправить
Нужно второе мнение?
У Cloudflare тоже есть бесплатный сканер, и он задаёт другой вопрос. Он оценивает то, что ваш сайт публикует для вызова агентами: MCP server cards, Agent Skills, каталоги API, DNS-записи. Мы оцениваем, может ли агент добраться до вашего контента, прочитать и понять его. Сайт может быть хорош в одном и плох в другом, так что ждите двух разных чисел: это ответы на два разных вопроса, и знать стоит оба.
Проверить grapheneos.org через CloudflareВстройте ваш бейдж
Добавьте этот бейдж на ваш сайт. Он обновляется автоматически при изменении вашей оценки ИИ-готовности.
<script src="https://agentready.md/badge.js" data-id="c9c6ac68-8fbc-4b47-84ac-00778dafbb81" data-domain="grapheneos.org"></script>
[](https://agentready.md/ru/r/c9c6ac68-8fbc-4b47-84ac-00778dafbb81)
Скоро: Полный анализ домена
Сканируйте весь домен, генерируйте llms.txt и отслеживайте оценку ИИ-готовности со временем. Присоединяйтесь к списку ожидания.
Вы в списке! Мы уведомим вас о запуске.