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http-fingerprintinghttp 指纹识别

Agent Skill

http-fingerprinting 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

261

周安装

11

GitHub Stars

222

下载量

92
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:http-fingerprinting(http 指纹识别)
来源仓库:https://github.com/transilienceai/communitytools
仓库路径:skills/http-fingerprinting
安装命令:
npx skills add https://github.com/transilienceai/communitytools --skill http-fingerprinting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/transilienceai/communitytools --skill http-fingerprinting

简介

用于分析 HTTP 请求特征以识别目标系统与防护机制。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中进行安全评估前准备。
  • 通过 GitHub 仓库安装,需谨慎使用以免触发安全告警。
  • 应遵守法律法规,仅在授权范围内执行测试。
  • 建议结合 WAF 日志验证指纹有效性。http-fingerprinting 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

HTTP Fingerprinting Skill

Purpose

Analyze HTTP responses to identify technology signatures in headers, cookies, and error pages.

Operations

1. collect_headers

Make HTTP requests and capture all response headers.

Command:

curl -sI -L --max-redirs 3 --connect-timeout 10 {url}

Headers to Analyze:

Server
X-Powered-By
X-AspNet-Version
X-AspNetMvc-Version
X-Generator
X-Drupal-Cache
X-Drupal-Dynamic-Cache
X-Varnish
X-Cache
X-Cache-Status
CF-RAY
X-Amz-Cf-Id
X-Vercel-Id
X-Netlify-
Via

2. analyze_server_header

Parse Server header for software and version.

Detection Patterns:

{
  "nginx": {
    "pattern": "nginx(/[\\d.]+)?",
    "tech": "nginx",
    "extract_version": true
  },
  "Apache": {
    "pattern": "Apache(/[\\d.]+)?",
    "tech": "Apache HTTP Server",
    "extract_version": true
  },
  "Microsoft-IIS": {
    "pattern": "Microsoft-IIS/([\\d.]+)",
    "tech": "Microsoft IIS",
    "extract_version": true
  },
  "cloudflare": {
    "pattern": "cloudflare",
    "tech": "Cloudflare",
    "extract_version": false
  },
  "AmazonS3": {
    "pattern": "AmazonS3",
    "tech": "AWS S3",
    "extract_version": false
  },
  "gunicorn": {
    "pattern": "gunicorn(/[\\d.]+)?",
    "tech": "Gunicorn",
    "implies": ["Python"]
  },
  "Werkzeug": {
    "pattern": "Werkzeug(/[\\d.]+)?",
    "tech": "Flask",
    "implies": ["Python"]
  }
}

3. detect_powered_by

Check X-Powered-By and similar headers.

Detection Patterns:

{
  "X-Powered-By": {
    "Express": {"tech": "Express.js", "implies": ["Node.js"], "confidence": 95},
    "PHP/": {"tech": "PHP", "extract_version": true, "confidence": 95},
    "ASP.NET": {"tech": "ASP.NET", "confidence": 95},
    "Servlet": {"tech": "Java Servlet", "implies": ["Java"], "confidence": 90},
    "Next.js": {"tech": "Next.js", "implies": ["React", "Node.js"], "confidence": 95},
    "Phusion Passenger": {"tech": "Passenger", "implies": ["Ruby"], "confidence": 85},
    "PleskLin": {"tech": "Plesk", "confidence": 90},
    "WP Engine": {"tech": "WP Engine", "implies": ["WordPress"], "confidence": 95}
  },
  "X-Generator": {
    "Drupal": {"tech": "Drupal", "confidence": 95},
    "WordPress": {"tech": "WordPress", "confidence": 95}
  }
}

4. fingerprint_cookies

Match cookie names to technology patterns.

Cookie Detection Patterns:

{
  "PHPSESSID": {"tech": "PHP", "confidence": 85},
  "JSESSIONID": {"tech": "Java", "confidence": 85},
  "ASP.NET_SessionId": {"tech": "ASP.NET", "confidence": 90},
  "connect.sid": {"tech": "Express.js", "implies": ["Node.js"], "confidence": 80},
  "_rails_session": {"tech": "Ruby on Rails", "confidence": 90},
  "laravel_session": {"tech": "Laravel", "implies": ["PHP"], "confidence": 90},
  "XSRF-TOKEN": {"tech": "Laravel", "confidence": 70},
  "django_session": {"tech": "Django", "implies": ["Python"], "confidence": 90},
  "csrftoken": {"tech": "Django", "implies": ["Python"], "confidence": 85},
  "_session_id": {"tech": "Ruby", "confidence": 60},
  "rack.session": {"tech": "Rack", "implies": ["Ruby"], "confidence": 85},
  "cf_clearance": {"tech": "Cloudflare", "confidence": 95},
  "__cf_bm": {"tech": "Cloudflare Bot Management", "confidence": 95},
  "__cfduid": {"tech": "Cloudflare", "confidence": 90},
  "AWSALB": {"tech": "AWS ALB", "confidence": 95},
  "AWSALBCORS": {"tech": "AWS ALB", "confidence": 95},
  "_gh_sess": {"tech": "GitHub", "confidence": 95},
  "wp-settings-": {"tech": "WordPress", "confidence": 90},
  "wordpress_logged_in": {"tech": "WordPress", "confidence": 95}
}

5. analyze_error_pages

Request invalid paths and analyze error page content.

Process:

  1. Request non-existent path: /{random_uuid}
  2. Analyze 404 response body
  3. Look for technology signatures in error HTML

Error Page Signatures:

{
  "Apache": {
    "pattern": "Apache/[\\d.]+ \\(.*\\) Server at",
    "confidence": 90
  },
  "nginx": {
    "pattern": "<center>nginx</center>",
    "confidence": 90
  },
  "IIS": {
    "pattern": "Server Error in '/' Application",
    "confidence": 85
  },
  "Tomcat": {
    "pattern": "Apache Tomcat/[\\d.]+",
    "confidence": 90
  },
  "Express": {
    "pattern": "Cannot GET /",
    "confidence": 70
  },
  "Django": {
    "pattern": "Page not found \\(404\\)|Django",
    "confidence": 85
  },
  "Rails": {
    "pattern": "Action Controller: Exception",
    "confidence": 90
  },
  "Laravel": {
    "pattern": "Whoops, looks like something went wrong",
    "confidence": 80
  }
}

Output

{
  "skill": "http_fingerprinting",
  "domain": "string",
  "results": {
    "endpoints_analyzed": "number",
    "signals": [
      {
        "url": "https://example.com",
        "headers": {
          "Server": "nginx/1.18.0",
          "X-Powered-By": "Express"
        },
        "cookies": ["connect.sid", "csrf_token"],
        "status_code": 200,
        "technologies_detected": [
          {
            "name": "nginx",
            "version": "1.18.0",
            "source": "Server header",
            "confidence": 90
          },
          {
            "name": "Express.js",
            "source": "X-Powered-By header",
            "confidence": 95,
            "implies": ["Node.js"]
          }
        ]
      }
    ],
    "unique_technologies": [
      {
        "name": "string",
        "total_signals": "number",
        "sources": ["array"]
      }
    ]
  },
  "evidence": [
    {
      "type": "http_header",
      "url": "string",
      "header": "string",
      "value": "string",
      "timestamp": "ISO-8601"
    },
    {
      "type": "cookie",
      "url": "string",
      "cookie_name": "string",
      "timestamp": "ISO-8601"
    }
  ]
}

Rate Limiting

  • HTTP requests: 30/minute per domain
  • 2 second delay between requests to same host
  • Respect Retry-After headers

Error Handling

  • Timeout after 10 seconds per request
  • Continue on connection failures
  • Log all errors for debugging
  • Never fail completely - return partial results

Security Considerations

  • Only use safe HTTP methods (GET, HEAD)
  • Follow redirects (max 3)
  • Do not send authentication
  • Respect robots.txt rate limits
  • Log all requests for audit

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37%
按下载量换算34

Claude

33.47%
按下载量换算31

Cursor

18.06%
按下载量换算17

Gemini CLI

8.5%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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