已验证的 AgentReady.md 证书

签发于 2026年4月18日 12:36 sig: 2efeef5bd4197685 验证 →

已分析URL

https://skrios.xyz

分析另一个URL

AI-Ready评分

40 / D

较差

/ 100

Token节省量

HTML Token 1245

Markdown Token 33

节省 97%

评分详情

语义化HTML 38/100

内容效率 55/100

AI可发现性 27/100

结构化数据 10/100

可访问性 70/100

您的网站没有llms.txt文件。这是帮助AI代理理解网站结构的新兴标准。

如何实施

按照llmstxt.org规范创建/llms.txt文件。包含网站描述和关键页面的链接。

您的页面未使用<article>或<main>元素。这些语义容器帮助AI代理识别主要内容区域，忽略导航、侧边栏和页脚。

如何实施

在页面主要内容周围添加<main>元素，并对博客文章或产品描述等独立内容块使用<article>。

您的页面实际内容与总HTML的比率较低。页面重量的大部分是标记、脚本或样式而非内容。

如何实施

将CSS移至外部样式表，删除内联样式，最小化JavaScript，确保HTML专注于内容结构。

您的网站不支持Markdown for Agents。此Cloudflare标准允许AI代理以markdown格式请求内容，减少约80%的令牌使用。

如何实施

实现以下一项或多项：(1) 使用markdown内容响应Accept: text/markdown。(2) 提供.md URL（例如/page.md）。(3) 添加<link rel="alternate" type="text/markdown">标签。(4) 添加Link HTTP标头用于markdown发现。

未找到站点地图。站点地图帮助AI代理发现网站上的所有页面。

如何实施

创建列出所有公开页面的/sitemap.xml。大多数CMS平台可以自动生成。

您的页面大量依赖<div>元素。<section>、<nav>、<header>、<footer>和<aside>等语义元素为AI代理提供有意义的结构。

如何实施

将通用<div>容器替换为适当的语义元素。对主题分组使用<section>，导航使用<nav>，页面/区块的头部和底部使用<header>/<footer>。

部分图片缺少描述性alt属性。良好的alt属性帮助AI代理理解图片内容和上下文。

如何实施

为所有图片添加描述性alt属性。描述图片展示的内容，而不仅仅是「图片」或「照片」。装饰性图片使用alt=""（空值）。

许多元素具有内联样式属性。这些会为提取内容的AI代理增加噪声。

如何实施

将所有内联样式移至样式表中的CSS类。如需大量独特样式，使用Tailwind等实用CSS框架。

您的robots.txt阻止了部分AI机器人（GPTBot、ClaudeBot、PerplexityBot）。这会阻止AI代理索引您的内容。

如何实施

更新robots.txt以允许AI机器人。为GPTBot、ClaudeBot和PerplexityBot添加明确的Allow规则。

未找到Schema.org结构化数据。JSON-LD帮助AI代理从页面中提取基于事实的结构化信息。

如何实施

添加包含Schema.org标记的<script type="application/ld+json">块。使用适当的类型：博客文章用Article，产品页面用Product，公司页面用Organization。

Markdown Token: 33

[![LOGO](https://skrios.xyz/imgs/skrios-logo.png)](https://skrios.xyz/#)

### ¡Muy Pronto!

SKrios Studio                [](https://skrios.xyz/cdn-cgi/content?id=IakdrQfVnn1d2d.JDPTNsQv.ZMCr8oXSdFsZ2XlJnmw-1776508603.1433673-1.0.1.1-Gj1S0JNKBsEMMHyhPUzIZQDj9SPA.OcWB2vJOXctL_U)

[![LOGO](https://skrios.xyz/imgs/skrios-logo.png)](https://skrios.xyz/#)

### ¡Muy Pronto!

将此文件上传到服务器的/index.md，以便AI代理可以访问页面的干净版本。您也可以配置Accept: text/markdown内容协商以自动提供。

为此单页生成的llms.txt

下载llms.txt

# skrios.xyz

## Main
- [SKrios Studio](https://skrios.xyz)

完整llms.txt需要全域分析（即将推出）

将此文件上传到域名根目录的https://skrios.xyz/llms.txt。ChatGPT、Claude和Perplexity等AI代理会检查此文件以了解您的网站结构。

语义化HTML

使用article或main元素 (0/100)

Missing <article> and <main> elements

正确的标题层级 (70/100)

no <h1>

使用语义化HTML元素 (0/100)

0 semantic elements, 8 divs (ratio: 0%)

有意义的图片alt属性 (0/100)

0/1 images with meaningful alt text

较低的div嵌套深度 (100/100)

Avg div depth: 0.9, max: 2

内容效率

良好的Token减少比率 (100/100)

97% token reduction (HTML→Markdown)

良好的内容与噪声比 (0/100)

Content ratio: 2.2% (112 content chars / 5167 HTML bytes)

最少的内联样式 (0/100)

3/38 elements with inline styles (7.9%)

合理的页面重量 (100/100)

HTML size: 5KB

AI可发现性

有llms.txt文件 (0/100)

No llms.txt found

有robots.txt文件 (100/100)

robots.txt exists

robots.txt允许AI机器人 (34/100)

2/3 AI bots blocked: ClaudeBot, GPTBot

有sitemap.xml (0/100)

No sitemap found

Markdown for Agents支持 (0/100)

✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header

有Content-Signal（robots.txt或HTTP标头） (60/100)

✓ robots.txt ✗ HTTP header ✓ Policy

结构化数据

有Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

有Open Graph标签 (0/100)

0/3 OG tags present

有meta描述 (0/100)

No meta description

有规范URL (0/100)

No canonical URL

有lang属性 (100/100)

lang="en"

可访问性

无需JavaScript即可获取内容 (100/100)

Content available without JavaScript

合理的页面大小 (100/100)

Page size: 5KB

内容在HTML中位置靠前 (0/100)

Main content starts at 100% of HTML

{
  "url": "https://skrios.xyz",
  "timestamp": 1776508604076,
  "fetch": {
    "mode": "simple",
    "timeMs": 414,
    "htmlSizeBytes": 5167,
    "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": "SKrios Studio",
    "excerpt": "",
    "byline": null,
    "siteName": null,
    "lang": "en",
    "contentLength": 112,
    "metadata": {
      "description": null,
      "ogTitle": null,
      "ogDescription": null,
      "ogImage": null,
      "ogType": null,
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": null,
      "markdownAlternateHref": null
    }
  },
  "markdown": "[![LOGO](https://skrios.xyz/imgs/skrios-logo.png)](https://skrios.xyz/#)\n\n### ¡Muy Pronto!\n",
  "fullPageMarkdown": "SKrios Studio                [](https://skrios.xyz/cdn-cgi/content?id=IakdrQfVnn1d2d.JDPTNsQv.ZMCr8oXSdFsZ2XlJnmw-1776508603.1433673-1.0.1.1-Gj1S0JNKBsEMMHyhPUzIZQDj9SPA.OcWB2vJOXctL_U)\n\n[![LOGO](https://skrios.xyz/imgs/skrios-logo.png)](https://skrios.xyz/#)\n\n### ¡Muy Pronto!\n",
  "markdownStats": {
    "images": 1,
    "links": 1,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 1
  },
  "tokens": {
    "htmlTokens": 1245,
    "markdownTokens": 33,
    "reduction": 1212,
    "reductionPercent": 97
  },
  "score": {
    "score": 40,
    "grade": "D",
    "dimensions": {
      "semanticHtml": {
        "score": 38,
        "weight": 20,
        "grade": "F",
        "checks": {
          "uses_article_or_main": {
            "score": 0,
            "weight": 20,
            "details": "Missing <article> and <main> elements"
          },
          "proper_heading_hierarchy": {
            "score": 70,
            "weight": 25,
            "details": "no <h1>"
          },
          "semantic_elements": {
            "score": 0,
            "weight": 20,
            "details": "0 semantic elements, 8 divs (ratio: 0%)"
          },
          "meaningful_alt_texts": {
            "score": 0,
            "weight": 15,
            "details": "0/1 images with meaningful alt text"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 0.9, max: 2"
          }
        }
      },
      "contentEfficiency": {
        "score": 55,
        "weight": 25,
        "grade": "D",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "97% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "details": "Content ratio: 2.2% (112 content chars / 5167 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 0,
            "weight": 15,
            "details": "3/38 elements with inline styles (7.9%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 5KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 27,
        "weight": 25,
        "grade": "F",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 20,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 10,
            "details": "robots.txt exists"
          },
          "robots_allows_ai_bots": {
            "score": 34,
            "weight": 15,
            "details": "2/3 AI bots blocked: ClaudeBot, GPTBot"
          },
          "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": 60,
            "weight": 20,
            "details": "robots.txt: search=yes, ai-train=no | Policy included"
          }
        }
      },
      "structuredData": {
        "score": 10,
        "weight": 15,
        "grade": "F",
        "checks": {
          "has_schema_org": {
            "score": 0,
            "weight": 30,
            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 0,
            "weight": 25,
            "details": "0/3 OG tags present"
          },
          "has_meta_description": {
            "score": 0,
            "weight": 20,
            "details": "No meta description"
          },
          "has_canonical_url": {
            "score": 0,
            "weight": 15,
            "details": "No canonical URL"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 70,
        "weight": 15,
        "grade": "C",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 5KB"
          },
          "fast_content_position": {
            "score": 0,
            "weight": 30,
            "details": "Main content starts at 100% 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": "add_article_main",
      "priority": "critical",
      "category": "semanticHtml",
      "titleKey": "rec.add_article_main.title",
      "descriptionKey": "rec.add_article_main.description",
      "howToKey": "rec.add_article_main.howto",
      "effort": "quick-win",
      "estimatedImpact": 8,
      "checkScore": 0,
      "checkDetails": "Missing <article> and <main> elements"
    },
    {
      "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: 2.2% (112 content chars / 5167 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_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_semantic_elements",
      "priority": "critical",
      "category": "semanticHtml",
      "titleKey": "rec.add_semantic_elements.title",
      "descriptionKey": "rec.add_semantic_elements.description",
      "howToKey": "rec.add_semantic_elements.howto",
      "effort": "moderate",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "0 semantic elements, 8 divs (ratio: 0%)"
    },
    {
      "id": "improve_alt_texts",
      "priority": "critical",
      "category": "semanticHtml",
      "titleKey": "rec.improve_alt_texts.title",
      "descriptionKey": "rec.improve_alt_texts.description",
      "howToKey": "rec.improve_alt_texts.howto",
      "effort": "moderate",
      "estimatedImpact": 4,
      "checkScore": 0,
      "checkDetails": "0/1 images with meaningful alt text"
    },
    {
      "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": "3/38 elements with inline styles (7.9%)"
    },
    {
      "id": "allow_ai_bots",
      "priority": "high",
      "category": "aiDiscoverability",
      "titleKey": "rec.allow_ai_bots.title",
      "descriptionKey": "rec.allow_ai_bots.description",
      "howToKey": "rec.allow_ai_bots.howto",
      "effort": "quick-win",
      "estimatedImpact": 7,
      "checkScore": 34,
      "checkDetails": "2/3 AI bots blocked: ClaudeBot, GPTBot"
    },
    {
      "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"
    }
  ],
  "llmsTxtPreview": "# skrios.xyz\n\n## Main\n- [SKrios Studio](https://skrios.xyz)\n\n",
  "llmsTxtExisting": null,
  "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": "# skrios.xyz\n\n## Main\n- [SKrios Studio](https://skrios.xyz)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"SKrios Studio\",\n  \"description\": \"Page description.\",\n  \"url\": \"https://skrios.xyz\",\n  \"inLanguage\": \"en\"\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "allow_ai_bots",
      "title": "Allow AI bots in robots.txt",
      "description": "Some AI bots are blocked in your robots.txt. Remove or modify these Disallow rules to let AI agents index your content.",
      "language": "txt",
      "code": "# Add to your robots.txt — explicitly allow AI bots:\nUser-agent: GPTBot\nAllow: /\n\nUser-agent: ClaudeBot\nAllow: /\n\nUser-agent: PerplexityBot\nAllow: /",
      "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://skrios.xyz</loc>\n    <lastmod>2026-04-18</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "id": "add_article_main",
      "title": "Wrap content in <main> and <article>",
      "description": "Semantic HTML landmarks help AI agents identify the main content of your page.",
      "language": "html",
      "code": "<main>\n  <article>\n    <h1>Your Page Title</h1>\n    <p>Your content here...</p>\n  </article>\n</main>",
      "filename": "<body>"
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Implement one or more of the 4 Markdown for Agents mechanisms to let AI agents request content in markdown format.",
      "language": "html",
      "code": "<!-- 1. Content negotiation: respond to Accept: text/markdown -->\n<!-- In your server/framework, check the Accept header and return markdown -->\n<!-- with Content-Type: text/markdown -->\n\n<!-- 2. Serve .md URLs (e.g., /about.md alongside /about) -->\n<!-- Generate static .md files or handle .md routes in your app -->\n\n<!-- 3. Add <link> tag in your HTML <head>: -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">\n\n<!-- 4. Add Link HTTP header on HTML responses: -->\n<!-- Link: </page.md>; rel=\"alternate\"; type=\"text/markdown\" -->\n\n<!-- Best practice: include Vary: Accept and X-Markdown-Tokens headers -->\n<!-- on markdown responses -->",
      "filename": "<head> + server config"
    }
  ]
}

使用我们的API以编程方式获取此内容（即将推出）

此JSON供内部使用 — 与Markdown和llms.txt文件不同，它不适合上传到您的网站。将其保存为基准值以跟踪评分变化，与开发团队共享，或集成到CI/CD流水线中。

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Script 推荐

<script src="https://agentready.md/badge.js" data-id="d3b8ce75-e37a-4317-a7c8-518e100b7903" data-domain="skrios.xyz"></script>

Markdown

[![AgentReady.md score for skrios.xyz](https://agentready.md/badge/skrios.xyz.svg)](https://agentready.md/zh/r/d3b8ce75-e37a-4317-a7c8-518e100b7903)

即将推出：全域分析

爬取您的整个域名，生成llms.txt，并随时间监控您的AI就绪度评分。加入等候名单以获取通知。

✓ 您已加入名单！服务上线时我们会通知您。