Verifiziertes AgentReady.md-Zertifikat
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Analysierte URL

https://agent-browser.dev/engines/lightpanda

Weitere URL analysieren

KI-Ready Score

56 / D

Mangelhaft

von 100

Token-Einsparung

HTML-Tokens 17.926
Markdown-Tokens 717
Einsparung 96%

Score-Aufschlüsselung

Semantisches HTML 91/100
Inhaltseffizienz 55/100
KI-Auffindbarkeit 15/100
Strukturierte Daten 45/100
Zugänglichkeit 93/100

Emerging Protocols

0 von 3 erkannt

Well-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.

  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card Anthropic
    /.well-known/mcp.json
  • A2A Agent Card Google
    /.well-known/agent.json

Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.

So implementieren Sie es

Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.

Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.

So implementieren Sie es

Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.

Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.

So implementieren Sie es

Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.

{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; 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', '; 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":"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 :\n# "}] }'>

Ihre Website hat keine robots.txt-Datei. Diese Datei steuert, wie Bots (einschließlich KI-Agenten) auf Ihre Website zugreifen.

So implementieren Sie es

Erstellen Sie eine /robots.txt-Datei, die den Zugriff auf Ihre Inhaltsseiten erlaubt. Fügen Sie eine Sitemap-Anweisung hinzu, die auf Ihre sitemap.xml verweist.

Keine Sitemap gefunden. Eine Sitemap hilft KI-Agenten, alle Seiten Ihrer Website zu entdecken.

So implementieren Sie es

Erstellen Sie eine /sitemap.xml, die alle Ihre öffentlichen Seiten auflistet. Die meisten CMS-Plattformen können diese automatisch generieren.

Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.

So implementieren Sie es

Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.

{\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});"}] }'>

Viele Elemente haben Inline-Style-Attribute. Diese erzeugen Rauschen für KI-Agenten bei der Inhaltsextraktion.

So implementieren Sie es

Verlagern Sie alle Inline-Styles in CSS-Klassen in Ihrem Stylesheet. Verwenden Sie Utility-CSS-Frameworks wie Tailwind, wenn Sie viele individuelle Styles benötigen.

Keine Schema.org-strukturierten Daten gefunden. JSON-LD hilft KI-Agenten, faktische, strukturierte Informationen aus Ihren Seiten zu extrahieren.

So implementieren Sie es

Fügen Sie einen <script type="application/ld+json">-Block mit Schema.org-Markup hinzu. Verwenden Sie passende Typen: Article für Blogbeiträge, Product für Produktseiten, Organization für Ihre Unternehmensseite.

Keine kanonische URL gefunden. Diese hilft KI-Agenten, die bevorzugte Version einer Seite zu identifizieren und doppelte Inhalte zu vermeiden.

So implementieren Sie es

Fügen Sie ein <link rel="canonical" href="...">-Tag hinzu, das auf die kanonische URL der Seite verweist.

Markdown-Tokens: 717
[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.

agent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.

## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)

Install the Lightpanda binary before using it with agent-browser:

| Platform | Command |
| --- | --- |
| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |
| Linux (x86\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |

Move the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).

See the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.

## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)

Use the `--engine` flag to select Lightpanda:

```
agent-browser --engine lightpanda open example.com
agent-browser --engine lightpanda snapshot
agent-browser --engine lightpanda screenshot
```

Or set it as the default via environment variable:

```
export AGENT_BROWSER_ENGINE=lightpanda
agent-browser open example.com
```

Or in your `agent-browser.json` config:

```
{
  "engine": "lightpanda"
}
```

## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)

If the `lightpanda` binary is not in your `PATH`, use `--executable-path`:

```
agent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com
```

## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)

Lightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:

| Feature | Status |
| --- | --- |
| Extensions (`--extension`) | Not supported |
| Persistent profiles (`--profile`) | Not supported |
| Storage state (`--state`) | Not supported |
| File access (`--allow-file-access`) | Not supported |
| Headed mode (`--headed`) | Not applicable (headless only) |
| Screenshots | Depends on Lightpanda CDP support |

agent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.

## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)

Lightpanda is a good fit for:

-   Fast web scraping and data extraction
-   AI agent workflows where speed and low memory matter
-   CI/CD environments with constrained resources
-   High-volume parallel automation

Use Chrome when you need full browser fidelity, extensions, or persistent profiles.
Lightpanda | agent-browser

[](https://vercel.com/ "Made with love by Vercel")[agent-browser](https://agent-browser.dev/)

Lightpanda

Copy Page

# Lightpanda[#](https://agent-browser.dev/engines/lightpanda#lightpanda)

[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.

agent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.

## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)

Install the Lightpanda binary before using it with agent-browser:

| Platform | Command |
| --- | --- |
| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |
| Linux (x86\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |

Move the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).

See the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.

## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)

Use the `--engine` flag to select Lightpanda:

```
agent-browser --engine lightpanda open example.com
agent-browser --engine lightpanda snapshot
agent-browser --engine lightpanda screenshot
```

Or set it as the default via environment variable:

```
export AGENT_BROWSER_ENGINE=lightpanda
agent-browser open example.com
```

Or in your `agent-browser.json` config:

```
{
  "engine": "lightpanda"
}
```

## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)

If the `lightpanda` binary is not in your `PATH`, use `--executable-path`:

```
agent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com
```

## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)

Lightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:

| Feature | Status |
| --- | --- |
| Extensions (`--extension`) | Not supported |
| Persistent profiles (`--profile`) | Not supported |
| Storage state (`--state`) | Not supported |
| File access (`--allow-file-access`) | Not supported |
| Headed mode (`--headed`) | Not applicable (headless only) |
| Screenshots | Depends on Lightpanda CDP support |

agent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.

## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)

Lightpanda is a good fit for:

-   Fast web scraping and data extraction
-   AI agent workflows where speed and low memory matter
-   CI/CD environments with constrained resources
-   High-volume parallel automation

Use Chrome when you need full browser fidelity, extensions, or persistent profiles.

Ask AI⌘I

agent-browser Docs

What is agent-browser?How do I install it?What commands are available?How do snapshots work?How do I use CDP mode?

Laden Sie diese Datei als /engines/lightpanda.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.

Generierte llms.txt für diese einzelne Seite

llms.txt herunterladen
# agent-browser

> Browser automation CLI for AI agents

## Main
- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents
- [agent-browser](https://agent-browser.dev/)
- [Installation](https://agent-browser.dev/installation)
- [Quick Start](https://agent-browser.dev/quick-start)
- [Skills](https://agent-browser.dev/skills)
- [Commands](https://agent-browser.dev/commands)
- [Configuration](https://agent-browser.dev/configuration)
- [Selectors](https://agent-browser.dev/selectors)
- [Snapshots](https://agent-browser.dev/snapshots)

Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)

Laden Sie diese Datei als https://agent-browser.dev/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.

Semantisches HTML

Verwendet article- oder main-Element (100/100)

Has <article>

Korrekte Überschriftenhierarchie (100/100)

Clean heading hierarchy

Verwendet semantische HTML-Elemente (57/100)

6 semantic elements, 29 divs (ratio: 17%)

Aussagekräftige Bild-Alt-Texte (100/100)

No images found

Geringe div-Verschachtelungstiefe (100/100)

Avg div depth: 1.3, max: 3

Inhaltseffizienz

Gutes Token-Reduktionsverhältnis (100/100)

96% token reduction (HTML→Markdown)

Gutes Inhalt-zu-Rausch-Verhältnis (0/100)

Content ratio: 4.4% (2315 content chars / 52724 HTML bytes)

Minimale Inline-Styles (0/100)

40/342 elements with inline styles (11.7%)

Angemessenes Seitengewicht (100/100)

HTML size: 51KB

KI-Auffindbarkeit

Hat llms.txt-Datei (0/100)

No llms.txt found

Hat robots.txt-Datei (0/100)

No robots.txt found

robots.txt erlaubt KI-Bots (100/100)

No robots.txt — AI bots allowed by default

Hat sitemap.xml (0/100)

No sitemap found

Markdown for Agents Unterstützung (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Hat Content-Signal (robots.txt oder HTTP-Header) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Strukturierte Daten

Hat Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Hat Open-Graph-Tags (100/100)

All OG tags present

Hat Meta-Beschreibung (50/100)

Meta description too short: 36 chars

Hat kanonische URL (0/100)

No canonical URL

Hat lang-Attribut (100/100)

lang="en"

Zugänglichkeit

Inhalt ohne JavaScript verfügbar (100/100)

Content available without JavaScript

Angemessene Seitengröße (100/100)

Page size: 51KB

Inhalt erscheint früh im HTML (75/100)

Main content starts at 24% of HTML

{
  "url": "https://agent-browser.dev/engines/lightpanda",
  "timestamp": 1777265121779,
  "fetch": {
    "mode": "simple",
    "timeMs": 257,
    "htmlSizeBytes": 52724,
    "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": "Lightpanda | agent-browser",
    "excerpt": "Browser automation CLI for AI agents",
    "byline": null,
    "siteName": "agent-browser",
    "lang": "en",
    "contentLength": 2315,
    "metadata": {
      "description": "Browser automation CLI for AI agents",
      "ogTitle": "Lightpanda | agent-browser",
      "ogDescription": "Browser automation CLI for AI agents",
      "ogImage": "https://agent-browser.dev/og/engines/lightpanda",
      "ogType": "website",
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": null,
      "markdownAlternateHref": null
    }
  },
  "markdown": "[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.\n\nagent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.\n\n## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)\n\nInstall the Lightpanda binary before using it with agent-browser:\n\n| Platform | Command |\n| --- | --- |\n| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |\n| Linux (x86\\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |\n\nMove the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).\n\nSee the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.\n\n## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)\n\nUse the `--engine` flag to select Lightpanda:\n\n```\nagent-browser --engine lightpanda open example.com\nagent-browser --engine lightpanda snapshot\nagent-browser --engine lightpanda screenshot\n```\n\nOr set it as the default via environment variable:\n\n```\nexport AGENT_BROWSER_ENGINE=lightpanda\nagent-browser open example.com\n```\n\nOr in your `agent-browser.json` config:\n\n```\n{\n  \"engine\": \"lightpanda\"\n}\n```\n\n## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)\n\nIf the `lightpanda` binary is not in your `PATH`, use `--executable-path`:\n\n```\nagent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com\n```\n\n## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)\n\nLightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:\n\n| Feature | Status |\n| --- | --- |\n| Extensions (`--extension`) | Not supported |\n| Persistent profiles (`--profile`) | Not supported |\n| Storage state (`--state`) | Not supported |\n| File access (`--allow-file-access`) | Not supported |\n| Headed mode (`--headed`) | Not applicable (headless only) |\n| Screenshots | Depends on Lightpanda CDP support |\n\nagent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.\n\n## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)\n\nLightpanda is a good fit for:\n\n-   Fast web scraping and data extraction\n-   AI agent workflows where speed and low memory matter\n-   CI/CD environments with constrained resources\n-   High-volume parallel automation\n\nUse Chrome when you need full browser fidelity, extensions, or persistent profiles.\n",
  "fullPageMarkdown": "Lightpanda | agent-browser\n\n[](https://vercel.com/ \"Made with love by Vercel\")[agent-browser](https://agent-browser.dev/)\n\nLightpanda\n\nCopy Page\n\n# Lightpanda[#](https://agent-browser.dev/engines/lightpanda#lightpanda)\n\n[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.\n\nagent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.\n\n## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)\n\nInstall the Lightpanda binary before using it with agent-browser:\n\n| Platform | Command |\n| --- | --- |\n| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |\n| Linux (x86\\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |\n\nMove the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).\n\nSee the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.\n\n## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)\n\nUse the `--engine` flag to select Lightpanda:\n\n```\nagent-browser --engine lightpanda open example.com\nagent-browser --engine lightpanda snapshot\nagent-browser --engine lightpanda screenshot\n```\n\nOr set it as the default via environment variable:\n\n```\nexport AGENT_BROWSER_ENGINE=lightpanda\nagent-browser open example.com\n```\n\nOr in your `agent-browser.json` config:\n\n```\n{\n  \"engine\": \"lightpanda\"\n}\n```\n\n## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)\n\nIf the `lightpanda` binary is not in your `PATH`, use `--executable-path`:\n\n```\nagent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com\n```\n\n## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)\n\nLightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:\n\n| Feature | Status |\n| --- | --- |\n| Extensions (`--extension`) | Not supported |\n| Persistent profiles (`--profile`) | Not supported |\n| Storage state (`--state`) | Not supported |\n| File access (`--allow-file-access`) | Not supported |\n| Headed mode (`--headed`) | Not applicable (headless only) |\n| Screenshots | Depends on Lightpanda CDP support |\n\nagent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.\n\n## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)\n\nLightpanda is a good fit for:\n\n-   Fast web scraping and data extraction\n-   AI agent workflows where speed and low memory matter\n-   CI/CD environments with constrained resources\n-   High-volume parallel automation\n\nUse Chrome when you need full browser fidelity, extensions, or persistent profiles.\n\nAsk AI⌘I\n\nagent-browser Docs\n\nWhat is agent-browser?How do I install it?What commands are available?How do snapshots work?How do I use CDP mode?\n",
  "markdownStats": {
    "images": 0,
    "links": 7,
    "tables": 2,
    "codeBlocks": 4,
    "headings": 5
  },
  "tokens": {
    "htmlTokens": 17926,
    "markdownTokens": 717,
    "reduction": 17209,
    "reductionPercent": 96
  },
  "score": {
    "score": 56,
    "grade": "D",
    "dimensions": {
      "semanticHtml": {
        "score": 91,
        "weight": 20,
        "grade": "A",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has <article>"
          },
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 25,
            "details": "Clean heading hierarchy"
          },
          "semantic_elements": {
            "score": 57,
            "weight": 20,
            "details": "6 semantic elements, 29 divs (ratio: 17%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.3, max: 3"
          }
        }
      },
      "contentEfficiency": {
        "score": 55,
        "weight": 25,
        "grade": "D",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "96% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "details": "Content ratio: 4.4% (2315 content chars / 52724 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 0,
            "weight": 15,
            "details": "40/342 elements with inline styles (11.7%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 51KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 15,
        "weight": 25,
        "grade": "F",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 20,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 0,
            "weight": 10,
            "details": "No robots.txt found"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 15,
            "details": "No robots.txt — AI bots allowed by default"
          },
          "has_sitemap": {
            "score": 0,
            "weight": 10,
            "details": "No sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 25,
            "details": "No Markdown for Agents support detected"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 20,
            "details": "No Content-Signal found (robots.txt or HTTP headers)"
          }
        }
      },
      "structuredData": {
        "score": 45,
        "weight": 15,
        "grade": "D",
        "checks": {
          "has_schema_org": {
            "score": 0,
            "weight": 30,
            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 50,
            "weight": 20,
            "details": "Meta description too short: 36 chars"
          },
          "has_canonical_url": {
            "score": 0,
            "weight": 15,
            "details": "No canonical URL"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 93,
        "weight": 15,
        "grade": "A",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 51KB"
          },
          "fast_content_position": {
            "score": 75,
            "weight": 30,
            "details": "Main content starts at 24% of HTML"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "add_llms_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_llms_txt.title",
      "descriptionKey": "rec.add_llms_txt.description",
      "howToKey": "rec.add_llms_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 10,
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "improve_content_ratio",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "Content ratio: 4.4% (2315 content chars / 52724 HTML bytes)"
    },
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_markdown_negotiation.title",
      "descriptionKey": "rec.add_markdown_negotiation.description",
      "howToKey": "rec.add_markdown_negotiation.howto",
      "effort": "significant",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No Markdown for Agents support detected"
    },
    {
      "id": "add_robots_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_robots_txt.title",
      "descriptionKey": "rec.add_robots_txt.description",
      "howToKey": "rec.add_robots_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No robots.txt found"
    },
    {
      "id": "add_sitemap",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_sitemap.title",
      "descriptionKey": "rec.add_sitemap.description",
      "howToKey": "rec.add_sitemap.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No sitemap found"
    },
    {
      "id": "add_content_signals",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    },
    {
      "id": "remove_inline_styles",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "40/342 elements with inline styles (11.7%)"
    },
    {
      "id": "add_schema_org",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
    {
      "id": "add_canonical_url",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_canonical_url.title",
      "descriptionKey": "rec.add_canonical_url.description",
      "howToKey": "rec.add_canonical_url.howto",
      "effort": "quick-win",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "No canonical URL"
    }
  ],
  "llmsTxtPreview": "# agent-browser\n\n> Browser automation CLI for AI agents\n\n## Main\n- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents\n- [agent-browser](https://agent-browser.dev/)\n- [Installation](https://agent-browser.dev/installation)\n- [Quick Start](https://agent-browser.dev/quick-start)\n- [Skills](https://agent-browser.dev/skills)\n- [Commands](https://agent-browser.dev/commands)\n- [Configuration](https://agent-browser.dev/configuration)\n- [Selectors](https://agent-browser.dev/selectors)\n- [Snapshots](https://agent-browser.dev/snapshots)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://agent-browser.dev/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://agent-browser.dev/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://agent-browser.dev/.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": "# agent-browser\n\n> Browser automation CLI for AI agents\n\n## Main\n- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents\n- [agent-browser](https://agent-browser.dev/)\n- [Installation](https://agent-browser.dev/installation)\n- [Quick Start](https://agent-browser.dev/quick-start)\n- [Skills](https://agent-browser.dev/skills)\n- [Commands](https://agent-browser.dev/commands)\n- [Configuration](https://agent-browser.dev/configuration)\n- [Selectors](https://agent-browser.dev/selectors)\n- [Snapshots](https://agent-browser.dev/snapshots)\n\n",
      "filename": "/llms.txt"
    },
    {
      "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://agent-browser.dev/engines/lightpanda\">",
      "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\": \"Lightpanda | agent-browser\",\n  \"description\": \"Browser automation CLI for AI agents\",\n  \"url\": \"https://agent-browser.dev/engines/lightpanda\",\n  \"inLanguage\": \"en\",\n  \"isPartOf\": {\n    \"@type\": \"WebSite\",\n    \"name\": \"agent-browser\"\n  }\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_robots_txt",
      "title": "Create /robots.txt",
      "description": "A robots.txt file tells crawlers (including AI bots) what they can and cannot access.",
      "language": "txt",
      "code": "User-agent: *\nAllow: /\n\nSitemap: https://agent-browser.dev/sitemap.xml",
      "filename": "/robots.txt"
    },
    {
      "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://agent-browser.dev/engines/lightpanda</loc>\n    <lastmod>2026-04-27</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\">"
        }
      ]
    }
  ]
}

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