인증된 AgentReady.md 증명서
발급일 sig: 17c82ac95296901c 검증 →

분석된 URL

https://problemcockpit.com/

측정: 1시간 전

다른 URL 분석

AI-Ready 점수

양호

/ 100

토큰 절감량

HTML 토큰 10.138
Markdown 토큰 360
절감 96%

점수 상세

접근성 100/100
AI 발견 가능성 60/100
구조화 데이터 100/100
시맨틱 HTML 94/100
콘텐츠 효율성 70/100

신흥 프로토콜

6개 중 0개 감지

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

  • 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

이 점수는 그대로 있지 않습니다. 모니터링은 아직 없습니다. 명단에 등록하면 출시할 때 알려드립니다.

명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.

측정 결과 No Markdown for Agents support detected

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No llms.txt found

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No Content-Signal found (robots.txt or HTTP headers)

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.

코딩 에이전트에 붙여넣어 수정하게 하세요
Markdown 토큰: 360
## Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

3 problems solved free. Then $49/month.

## How it works

1

### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2

### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3

### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4

### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

Start with the problem that keeps coming back.
Problem.Cockpit — Stop Solving the Wrong Problem

[Skip to content](https://problemcockpit.com/#main-content)

[Problem.Cockpit

](https://problemcockpit.com/)

[Sign Up](https://problemcockpit.com/sign-up)

# Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)

3 problems solved free. Then $49/month.

## How it works

1### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

Next

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

[Start Free](https://problemcockpit.com/sign-up)

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

[Start a Team](https://problemcockpit.com/team)

Start with the problem that keeps coming back.

이 파일을 서버의 /index.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
# Problem.Cockpit

> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

## Main
- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…
- [Gallery](https://problemcockpit.com/gallery)
- [Sign In](https://problemcockpit.com/sign-in)
- [Sign Up](https://problemcockpit.com/sign-up)

## Blog
- [Blog](https://problemcockpit.com/blog)

## Legal
- [Terms](https://problemcockpit.com/terms)
- [Privacy](https://problemcockpit.com/privacy)

전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)

이 파일을 도메인 루트의 https://problemcockpit.com/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.

접근성

JavaScript 없이 콘텐츠 이용 가능 (100/100)

Content available without JavaScript

HTML에서 콘텐츠가 빠른 위치에 배치 (100/100)

Main content starts at 18% of HTML

적절한 페이지 크기 (100/100)

Page size: 35KB

AI 발견 가능성

robots.txt가 AI 봇 허용 (100/100)

All major AI search bots allowed

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

Sitemap found

robots.txt 파일 있음 (100/100)

robots.txt exists

llms.txt 파일 있음 (0/100)

No llms.txt found

Content-Signal 있음 (robots.txt 또는 HTTP 헤더) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

구조화 데이터

Schema.org / JSON-LD 있음 (100/100)

JSON-LD found: Organization, WebSite

Open Graph 태그 있음 (100/100)

All OG tags present

메타 설명 있음 (100/100)

Meta description: 159 chars

정규 URL 있음 (100/100)

Canonical URL present

lang 속성 있음 (100/100)

lang="en"

시맨틱 HTML

올바른 제목 계층 구조 (100/100)

Clean heading hierarchy

article 또는 main 요소 사용 (100/100)

Has <main>

시맨틱 HTML 요소 사용 (68/100)

8 semantic elements, 31 divs (ratio: 21%)

의미 있는 이미지 alt 속성 (100/100)

No images found

낮은 div 중첩 깊이 (100/100)

Avg div depth: 3.3, max: 6

콘텐츠 효율성

양호한 토큰 감소율 (100/100)

96% token reduction (HTML→Markdown)

양호한 콘텐츠 대 잡음 비율 (0/100)

Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

적절한 페이지 무게 (100/100)

HTML size: 35KB

최소한의 인라인 스타일 (100/100)

1/162 elements with inline styles (0.6%)

{
  "url": "https://problemcockpit.com/",
  "timestamp": 1792412868895,
  "fetch": {
    "mode": "simple",
    "timeMs": 412,
    "htmlSizeBytes": 35613,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
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      "linkTag": {
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      "linkHeader": {
        "found": false,
        "url": null
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      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
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      "frontmatter": {
        "present": false,
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        "level": "none"
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    "contentLength": 1416,
    "metadata": {
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      "ogTitle": "Problem.Cockpit — Stop Solving the Wrong Problem",
      "ogDescription": "Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.",
      "ogImage": "https://problemcockpit.com/opengraph-image?1bf0182397b45598",
      "ogType": "website",
      "canonical": "https://problemcockpit.com",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "Organization",
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        {
          "@context": "https://schema.org",
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      "robotsMeta": null,
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  "fullPageMarkdown": "Problem.Cockpit — Stop Solving the Wrong Problem\n\n[Skip to content](https://problemcockpit.com/#main-content)\n\n[Problem.Cockpit\n\n](https://problemcockpit.com/)\n\n[Sign Up](https://problemcockpit.com/sign-up)\n\n# Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\nNext\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n-   \\--7-stage structured process, not open-ended chat\n-   \\--Surfaces your assumptions and strikes through what doesn't hold\n-   \\--Fork paths sorted from quick wins to structural change\n-   \\--Start even when you can't articulate the problem yet\n\n[Start Free](https://problemcockpit.com/sign-up)\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n-   \\--The same 7 stages, for everyone on the team\n-   \\--The whole team reads every session by default\n-   \\--Only the owner can change billing\n-   \\--Weeks later, see which decisions actually held up\n\n[Start a Team](https://problemcockpit.com/team)\n\nStart with the problem that keeps coming back.\n",
  "markdownStats": {
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    "links": 0,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 8
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  "tokens": {
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    "markdownTokens": 360,
    "reduction": 9778,
    "reductionPercent": 96
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  "score": {
    "score": 86,
    "grade": "B",
    "rubricVersion": 3,
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            "evidence": "plausible",
            "details": "Main content starts at 18% of HTML"
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            "weight": 20,
            "evidence": "plausible",
            "details": "Page size: 35KB"
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        "weight": 25,
        "grade": "C",
        "checks": {
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            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "Sitemap found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 10,
            "evidence": "plausible",
            "details": "robots.txt exists"
          },
          "has_llms_txt": {
            "score": 0,
            "weight": 10,
            "evidence": "speculative",
            "details": "No llms.txt found"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 10,
            "evidence": "speculative",
            "details": "No Content-Signal found (robots.txt or HTTP headers)",
            "mechanisms": {
              "robotsTxt": false,
              "httpHeader": false,
              "policy": false
            }
          }
        }
      },
      "structuredData": {
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          "has_meta_description": {
            "score": 100,
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            "details": "Has <main>"
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          "semantic_elements": {
            "score": 68,
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          "meaningful_alt_texts": {
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            "evidence": "plausible",
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 10,
            "evidence": "speculative",
            "details": "Avg div depth: 3.3, max: 6"
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      "contentEfficiency": {
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        "weight": 10,
        "grade": "C",
        "checks": {
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            "score": 100,
            "weight": 40,
            "evidence": "speculative",
            "details": "96% token reduction (HTML→Markdown)"
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          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "evidence": "speculative",
            "details": "Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 20,
            "evidence": "speculative",
            "details": "HTML size: 35KB"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 10,
            "evidence": "speculative",
            "details": "1/162 elements with inline styles (0.6%)"
          }
        }
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  },
  "recommendations": [
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
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      "maxImpact": 5,
      "evidence": "plausible",
      "checkScore": 0,
      "checkDetails": "No Markdown for Agents support detected"
    },
    {
      "id": "improve_content_ratio",
      "priority": "high",
      "category": "contentEfficiency",
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      "descriptionKey": "rec.improve_content_ratio.description",
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      "checkScore": 0,
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      "id": "add_llms_txt",
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      "howToKey": "rec.add_llms_txt.howto",
      "howToStepKeys": null,
      "effort": "quick-win",
      "estimatedImpact": 2.5,
      "maxImpact": 2.5,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "add_content_signals",
      "priority": "high",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "howToStepKeys": null,
      "effort": "quick-win",
      "estimatedImpact": 2.5,
      "maxImpact": 2.5,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    }
  ],
  "llmsTxtPreview": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthProtectedResource": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/oauth-protected-resource"
    },
    "oauthDiscovery": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/mcp/server-card.json",
      "draft": true
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/agent-card.json"
    },
    "apiCatalog": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/api-catalog"
    },
    "agentSkills": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/agent-skills/index.json",
      "draft": true
    },
    "count": 0,
    "total": 6
  },
  "botAccess": {
    "probed": true,
    "bot": "OAI-SearchBot",
    "controlStatus": 200,
    "botStatus": 200,
    "discriminates": false,
    "refusedAsBot": false,
    "edge": "Vercel",
    "verifiable": false,
    "detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
  },
  "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": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
      "filename": "/llms.txt"
    },
    {
      "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

또는 AI에게 개선 방법을 물어보세요

다른 의견도 들어보시겠어요?

Cloudflare에도 무료 스캐너가 있는데, 던지는 질문이 다릅니다. 그쪽은 에이전트가 호출할 수 있도록 사이트가 게시한 것(MCP 서버 카드, Agent Skills, API 카탈로그, DNS 레코드)을 채점합니다. 저희는 에이전트가 콘텐츠에 도달해 읽고 이해할 수 있는지를 채점합니다. 한쪽은 좋고 다른 쪽은 나쁠 수 있으니 두 점수가 다른 것은 당연합니다. 서로 다른 질문에 대한 답이고, 둘 다 알아둘 가치가 있습니다.

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배지 삽입

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

AgentReady.md score for problemcockpit.com
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Markdown
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곧 출시: 전체 도메인 분석

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

명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.