Проверенный сертификат AgentReady.md
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Проанализированный URL

https://omniasec.ai/

Измерено 3 недели назад

Анализировать другой URL

Оценка AI-Ready

Удовлетворительно

из 100

Экономия токенов

HTML-токены 13.402
Markdown-токены 582
Экономия 96%

Разбивка оценки

Доступность 94/100
Обнаруживаемость ИИ 45/100
Структурированные данные 33/100
Семантический HTML 88/100
Эффективность контента 73/100

Новые протоколы

Обнаружено 0 из 6

Well-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 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.

Вставьте в кодового агента, чтобы он внёс исправление

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.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили No sitemap found

Карта сайта не найдена. Sitemap помогает ИИ-агентам обнаруживать все страницы вашего сайта.

Как внедрить

Создайте /sitemap.xml со списком всех ваших публичных страниц. Большинство CMS-платформ могут генерировать его автоматически.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили No canonical URL

Канонический URL не найден. Он помогает ИИ-агентам определить предпочтительную версию страницы и избежать дублирования контента.

Как внедрить

Добавьте тег <link rel="canonical" href="..."> с каноническим URL страницы.

Вставьте в кодового агента, чтобы он внёс исправление

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.

Вставьте в кодового агента, чтобы он внёс исправление

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.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)

На вашей странице низкое соотношение фактического контента к общему HTML. Большая часть веса страницы приходится на разметку, скрипты или стили, а не на контент.

Как внедрить

Перенесите CSS во внешние таблицы стилей, удалите inline-стили, минимизируйте JavaScript и убедитесь, что HTML сфокусирован на структуре контента.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили 12 semantic elements, 85 divs (ratio: 12%)

Ваша страница в значительной степени полагается на элементы <div>. Семантические элементы, такие как <section>, <nav>, <header>, <footer> и <aside>, обеспечивают осмысленную структуру для ИИ-агентов.

Как внедрить

Замените общие контейнеры <div> подходящими семантическими элементами. Используйте <section> для тематических групп, <nav> для навигации, <header>/<footer> для верхних и нижних колонтитулов страниц и разделов.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили 2/3 OG tags present

Отсутствуют или неполные теги Open Graph. OG-теги помогают ИИ-агентам (и социальным платформам) понять заголовок, описание и изображение вашей страницы.

Как внедрить

Добавьте мета-теги og:title, og:description и og:image в <head> вашей страницы.

Вставьте в кодового агента, чтобы он внёс исправление

Что мы измерили 4/275 elements with inline styles (1.5%)

Многие элементы имеют атрибуты style. Они создают шум для ИИ-агентов при извлечении контента.

Как внедрить

Перенесите все inline-стили в CSS-классы в вашей таблице стилей. Используйте утилитарные CSS-фреймворки, такие как Tailwind, если вам нужно много уникальных стилей.

Вставьте в кодового агента, чтобы он внёс исправление
Markdown-токены: 582
## The AI Security *Command Center.*

Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface.

[Try Omnia →](https://app.omniasec.ai/login)

or install the CLI

`curl -fsSL https://omniasec.ai/cli-install | bash`

Our network

## Trusted Partners

Capabilities

## Built for modern security teams

### Chat

Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.

### Custom Agents

Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.

### Templates & Prompts

Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.

### Knowledge

Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.

### MCPs

Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.

### Community

Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.

Chat

## Your AI security analyst, one message away

Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.

![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)

File Analysis

## Upload any file, uncover hidden threats

Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.

![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)

Market Intelligence

## Monitor every marketplace, spot risks early

Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.

![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)

Workflows

## Automate your security playbooks

Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.

![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)
Home | Omnia

[](https://omniasec.ai/)

[Try Omnia](https://app.omniasec.ai/login)

# The AI Security *Command Center.*

Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface.

[Try Omnia →](https://app.omniasec.ai/login)

or install the CLI

`curl -fsSL https://omniasec.ai/cli-install | bash`

Our network

## Trusted Partners

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)

![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)

![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)

![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)

Capabilities

## Built for modern security teams

### Chat

Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.

### Custom Agents

Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.

### Templates & Prompts

Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.

### Knowledge

Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.

### MCPs

Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.

### Community

Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.

Chat

## Your AI security analyst, one message away

Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.

![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)

File Analysis

## Upload any file, uncover hidden threats

Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.

![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)

Market Intelligence

## Monitor every marketplace, spot risks early

Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.

![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)

Workflows

## Automate your security playbooks

Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.

![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)

Zero-day reads

[View all →](https://omniasec.ai/blog/)

[### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/)

\> |

## Ready to see what
Omnia can do?

Join the community redefining how we fight cyber threats.

[Try Omnia →](https://app.omniasec.ai/login)

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

Скачать llms.txt
# omniasec.ai

> Omnia

## Documentation
- [Docs](https://omniasec.ai/docs/)

## Main
- [Home | Omnia](https://omniasec.ai/): Omnia
- [About](https://omniasec.ai/about/)
- [Docs](https://omniasec.ai/docs/)
- [Bug Bounty](https://omniasec.ai/bug-bounty/)

## Blog
- [Blog](https://omniasec.ai/blog/)

## Legal
- [Privacy Policy](https://omniasec.ai/privacy-policy/)

Полный llms.txt требует анализа всего домена (скоро появится)

Загрузите этот файл по адресу https://omniasec.ai/llms.txt в корень вашего домена. ИИ-агенты, такие как ChatGPT, Claude и Perplexity, проверяют этот файл для понимания структуры вашего сайта.

Доступность

Контент доступен без JavaScript (100/100)

Content available without JavaScript

Контент расположен рано в HTML (75/100)

Main content starts at 22% of HTML

Приемлемый размер страницы (100/100)

Page size: 35KB

Обнаруживаемость ИИ

robots.txt разрешает ИИ-ботов (100/100)

All major AI search bots allowed

Поддержка Markdown for Agents (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
Имеет sitemap.xml (0/100)

No sitemap found

Имеет файл robots.txt (100/100)

robots.txt exists

Имеет файл llms.txt (0/100)

No llms.txt found

Есть Content-Signal (robots.txt или HTTP-заголовки) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Структурированные данные

Имеет Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Имеет теги Open Graph (67/100)

2/3 OG tags present

Имеет мета-описание (50/100)

Meta description too short: 5 chars

Имеет канонический URL (0/100)

No canonical URL

Имеет атрибут lang (100/100)

lang="en"

Семантический HTML

Правильная иерархия заголовков (100/100)

Clean heading hierarchy

Использует элемент article или main (100/100)

Has <main>

Использует семантические HTML-элементы (41/100)

12 semantic elements, 85 divs (ratio: 12%)

Осмысленные альтернативные тексты изображений (100/100)

36/36 images with meaningful alt text

Небольшая глубина вложенности div (100/100)

Avg div depth: 2.0, max: 3

Эффективность контента

Хороший коэффициент сокращения токенов (100/100)

96% token reduction (HTML→Markdown)

Хорошее соотношение контента к шуму (25/100)

Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)

Приемлемый вес страницы (100/100)

HTML size: 35KB

Минимум inline-стилей (50/100)

4/275 elements with inline styles (1.5%)

{
  "url": "https://omniasec.ai/",
  "timestamp": 1788288938884,
  "fetch": {
    "mode": "simple",
    "timeMs": 17,
    "htmlSizeBytes": 35943,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "Home | Omnia",
    "excerpt": "Omnia",
    "byline": null,
    "siteName": null,
    "lang": "en",
    "contentLength": 2138,
    "metadata": {
      "description": "Omnia",
      "ogTitle": "Home | Omnia",
      "ogDescription": "Omnia",
      "ogImage": null,
      "ogType": "website",
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": "Astro v5.17.3",
      "markdownAlternateHref": null
    }
  },
  "markdown": "## The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)\n",
  "fullPageMarkdown": "Home | Omnia\n\n[](https://omniasec.ai/)\n\n[Try Omnia](https://app.omniasec.ai/login)\n\n# The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\n![Google](https://omniasec.ai/_astro/google-logo.DzpxA-yY.svg)\n\n![VirusTotal](https://omniasec.ai/_astro/virustotal-logo.-8PUDH21.svg)\n\n![Hex-Rays](https://omniasec.ai/_astro/hex-rays-logo.CLI9XUrQ.svg)\n\n![Vector 35](https://omniasec.ai/_astro/vector-33-logo.Bl46fxtH.svg)\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n![Omnia chat interface](https://omniasec.ai/_astro/chat.DVzVgc5L_ZfWdvf.webp)\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n![Omnia file analysis interface](https://omniasec.ai/_astro/file-analysis.q4NafLgz_Z27MiYy.webp)\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n![Omnia market intelligence dashboard](https://omniasec.ai/_astro/market-intelligence.B1AHwC_q_Z1WCLUL.webp)\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n![Omnia workflow builder interface](https://omniasec.ai/_astro/workflows.HHDiqluG_11KxKg.webp)\n\nZero-day reads\n\n[View all →](https://omniasec.ai/blog/)\n\n[### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/)\n\n\\> |\n\n## Ready to see what\nOmnia can do?\n\nJoin the community redefining how we fight cyber threats.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n",
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      "checkDetails": "No llms.txt found"
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      "category": "aiDiscoverability",
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  "llmsTxtPreview": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
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  },
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    {
      "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": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
      "filename": "/llms.txt"
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    {
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      "title": "Add missing Open Graph tags",
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      "filename": "<head>",
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        },
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        },
        {
          "id": "nextjs",
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          "filename": "app/page.tsx",
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        }
      ]
    },
    {
      "id": "add_canonical_url",
      "title": "Add canonical URL",
      "description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
      "language": "html",
      "code": "<link rel=\"canonical\" href=\"https://omniasec.ai/\">",
      "filename": "<head>"
    },
    {
      "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\": \"Home | Omnia\",\n  \"description\": \"Omnia\",\n  \"url\": \"https://omniasec.ai/\",\n  \"inLanguage\": \"en\"\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://omniasec.ai/</loc>\n    <lastmod>2026-09-01</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "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.

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