인증된 AgentReady.md 증명서
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분석된 URL

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

다른 URL 분석

AI-Ready 점수

56 / D

미흡

/ 100

토큰 절감량

HTML 토큰 17.926
Markdown 토큰 717
절감 96%

점수 상세

시맨틱 HTML 91/100
콘텐츠 효율성 55/100
AI 발견 가능성 15/100
구조화 데이터 45/100
접근성 93/100

신흥 프로토콜

3개 중 0개 감지

AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.

  • 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

사이트에 llms.txt 파일이 없습니다. AI 에이전트가 사이트 구조를 이해하도록 돕는 새로운 표준입니다.

구현 방법

llmstxt.org 사양에 따라 /llms.txt 파일을 만드세요. 사이트 설명과 주요 페이지 링크를 포함하세요.

페이지의 실제 콘텐츠와 전체 HTML의 비율이 낮습니다. 페이지 무게의 상당 부분이 콘텐츠가 아닌 마크업, 스크립트, 스타일입니다.

구현 방법

CSS를 외부 스타일시트로 이동하고, 인라인 스타일을 제거하고, JavaScript를 최소화하고, HTML이 콘텐츠 구조에 집중하도록 하세요.

사이트가 Markdown for Agents를 지원하지 않습니다. 이 Cloudflare 표준을 통해 AI 에이전트가 마크다운 형식으로 콘텐츠를 요청할 수 있으며, 토큰 사용량을 ~80% 줄일 수 있습니다.

구현 방법

다음 중 하나 이상을 구현하세요: (1) Accept: text/markdown에 마크다운 콘텐츠로 응답. (2) .md URL 제공 (예: /page.md). (3) <link rel="alternate" type="text/markdown"> 태그 추가. (4) 마크다운 발견을 위한 Link HTTP 헤더 추가.

{\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# "}] }'>

사이트에 robots.txt 파일이 없습니다. 이 파일은 봇(AI 에이전트 포함)이 사이트에 접근하는 방식을 제어합니다.

구현 방법

콘텐츠 페이지 접근을 허용하는 /robots.txt 파일을 만드세요. sitemap.xml을 가리키는 Sitemap 지시문을 포함하세요.

사이트맵을 찾을 수 없습니다. 사이트맵은 AI 에이전트가 사이트의 모든 페이지를 발견하는 데 도움을 줍니다.

구현 방법

모든 공개 페이지를 나열하는 /sitemap.xml을 만드세요. 대부분의 CMS 플랫폼에서 자동 생성할 수 있습니다.

Content-Signal 지시어가 발견되지 않았습니다. 이는 AI 에이전트에게 콘텐츠 사용 방법(검색 색인, AI 입력, 훈련 데이터)을 알려줍니다. 권장 위치는 robots.txt입니다.

구현 방법

robots.txt에 Content-Signal을 추가하세요: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. 마크다운 응답의 HTTP 헤더로도 추가할 수 있습니다.

{\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});"}] }'>

많은 요소에 인라인 스타일 속성이 있습니다. 이는 콘텐츠를 추출하는 AI 에이전트에게 잡음이 됩니다.

구현 방법

모든 인라인 스타일을 스타일시트의 CSS 클래스로 이동하세요. 많은 고유 스타일이 필요하면 Tailwind 같은 유틸리티 CSS 프레임워크를 사용하세요.

Schema.org 구조화 데이터를 찾을 수 없습니다. JSON-LD는 AI 에이전트가 페이지에서 사실 기반의 구조화 정보를 추출하는 데 도움을 줍니다.

구현 방법

Schema.org 마크업이 포함된 <script type="application/ld+json"> 블록을 추가하세요. 적절한 유형을 사용하세요: 블로그 게시물에는 Article, 제품 페이지에는 Product, 회사 페이지에는 Organization.

정규 URL을 찾을 수 없습니다. AI 에이전트가 페이지의 선호 버전을 식별하고 중복 콘텐츠를 방지하는 데 도움을 줍니다.

구현 방법

페이지의 정규 URL을 가리키는 <link rel="canonical" href="..."> 태그를 추가하세요.

Markdown 토큰: 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?

이 파일을 서버의 /engines/lightpanda.md에 업로드하여 AI 에이전트가 페이지의 깔끔한 버전에 접근할 수 있게 하세요. Accept: text/markdown 콘텐츠 협상을 설정하여 자동으로 제공할 수도 있습니다.

이 단일 페이지용으로 생성된 llms.txt

llms.txt 다운로드
# 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)

전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)

이 파일을 도메인 루트의 https://agent-browser.dev/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.

시맨틱 HTML

article 또는 main 요소 사용 (100/100)

Has <article>

올바른 제목 계층 구조 (100/100)

Clean heading hierarchy

시맨틱 HTML 요소 사용 (57/100)

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

의미 있는 이미지 alt 속성 (100/100)

No images found

낮은 div 중첩 깊이 (100/100)

Avg div depth: 1.3, max: 3

콘텐츠 효율성

양호한 토큰 감소율 (100/100)

96% token reduction (HTML→Markdown)

양호한 콘텐츠 대 잡음 비율 (0/100)

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

최소한의 인라인 스타일 (0/100)

40/342 elements with inline styles (11.7%)

적절한 페이지 무게 (100/100)

HTML size: 51KB

AI 발견 가능성

llms.txt 파일 있음 (0/100)

No llms.txt found

robots.txt 파일 있음 (0/100)

No robots.txt found

robots.txt가 AI 봇 허용 (100/100)

No robots.txt — AI bots allowed by default

sitemap.xml 있음 (0/100)

No sitemap found

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

구조화 데이터

Schema.org / JSON-LD 있음 (0/100)

No JSON-LD / Schema.org found

Open Graph 태그 있음 (100/100)

All OG tags present

메타 설명 있음 (50/100)

Meta description too short: 36 chars

정규 URL 있음 (0/100)

No canonical URL

lang 속성 있음 (100/100)

lang="en"

접근성

JavaScript 없이 콘텐츠 이용 가능 (100/100)

Content available without JavaScript

적절한 페이지 크기 (100/100)

Page size: 51KB

HTML에서 콘텐츠가 빠른 위치에 배치 (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": {
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    "links": 7,
    "tables": 2,
    "codeBlocks": 4,
    "headings": 5
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    "grade": "D",
    "dimensions": {
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        "weight": 20,
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        "checks": {
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          }
        }
      },
      "contentEfficiency": {
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        "checks": {
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          "content_to_noise_ratio": {
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          "minimal_inline_styles": {
            "score": 0,
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            "details": "HTML size: 51KB"
          }
        }
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      "aiDiscoverability": {
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        "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)"
          }
        }
      },
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        "weight": 15,
        "grade": "D",
        "checks": {
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            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
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            "details": "Meta description too short: 36 chars"
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      "accessibility": {
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          "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"
          }
        }
      }
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  },
  "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",
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      "howToKey": "rec.add_robots_txt.howto",
      "effort": "quick-win",
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      "checkScore": 0,
      "checkDetails": "No robots.txt found"
    },
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      "id": "add_sitemap",
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      "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%)"
    },
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      "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": {
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      "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\">"
        }
      ]
    }
  ]
}

API를 사용하여 프로그래밍 방식으로 가져올 수 있습니다 (곧 출시)

이 JSON은 내부용입니다 — Markdown 및 llms.txt 파일과 달리 사이트에 업로드하기 위한 것이 아닙니다. 시간에 따른 점수 추적을 위한 기준값으로 저장하거나, 개발팀과 공유하거나, CI/CD 파이프라인에 통합하세요.

결과 공유

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배지 삽입

이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.

AgentReady.md score for agent-browser.dev
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Markdown
[![AgentReady.md score for agent-browser.dev](https://agentready.md/badge/agent-browser.dev.svg)](https://agentready.md/ko/r/fb2d16a3-eb1e-4e0f-b04a-81bef0b95397)

곧 출시: 전체 도메인 분석

전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.

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