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Agent Skill · 研究检索

profile-website-bot-detection(配置文件网站机器人检测)

profile-website-bot-detection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

profile-website-bot-detection 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 20,209。

总安装 5,292周安装 212GitHub Stars 3下载 1,713核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:profile-website-bot-detection(配置文件网站机器人检测)
来源仓库:https://github.com/kernel/skills
仓库路径:skills/profile-website-bot-detection
安装命令:
npx skills add https://github.com/kernel/skills --skill profile-website-bot-detection
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/kernel/skills --skill profile-website-bot-detection

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

检测网站在隐身与普通浏览器模式下的供应商与拦截差异。适用于反爬虫策略分析、广告加载行为对比与合规性验证。配置目标 URL 与浏览器参数,输出供应商列表、网络请求与判定结果。依赖内核浏览器环境,需确保 API 密钥权限与输出目录可写。检测结果仅供参考,实际访问请以人工浏览为准。

profile-website-bot-detection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/profile-website-bot-detection

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/kernel/skills --skill profile-website-bot-dete…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

profile-website-bot-detection 怎么安装?

在终端执行 npx skills add https://github.com/kernel/skills --skill profile-website-bot-detection。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

profile-website-bot-detection 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

profile-website-bot-detection 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

profile-website-bot-detection 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

profile-website-bot-detection 用的人多吗?

公开数据是累计安装 5,292 次,近一周安装 212 次,下载 1,713 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

profile-website-bot-detection 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
profile-website-bot-detection

配置文件网站机器人检测 · 本页

5,2923接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Profile Website for Bot Detection Vendors

Analyzes a target website to identify bot detection vendors, their specific products, and challenge types. Supports comparative analysis between stealth and non-stealth browser modes.

Prerequisites

  • Kernel CLI installed and authenticated
  • Node.js 22+ installed
  • jq installed (brew install jq or apt install jq)
  • KERNEL_API_KEY environment variable set. If it is not set, prompt the user to supply.

Comparative Workflow (Recommended)

Compare bot detection behavior between stealth and non-stealth browsers to evaluate stealth effectiveness.

Step 1: Create Both Browser Types

# Create stealth browser (with -s flag)
kernel browsers create -s --viewport 1920x1080@25 -t 300
# Save session_id as STEALTH_ID

# Create non-stealth headful browser (no -s flag)
kernel browsers create --viewport 1920x1080@25 -t 300
# Save session_id as NORMAL_ID

Step 2: Run Analysis on Both Browsers

cd scripts
npm install  # first run only

# Test with stealth browser
KERNEL_API_KEY=$KERNEL_API_KEY KERNEL_BROWSER_ID=$STEALTH_ID TARGET_URL=<url> BROWSER_MODE=stealth npm run analyze

# Test with non-stealth browser
KERNEL_API_KEY=$KERNEL_API_KEY KERNEL_BROWSER_ID=$NORMAL_ID TARGET_URL=<url> BROWSER_MODE=normal npm run analyze

Step 3: Compare Results

Compare the vendor detections and blocking behavior:

# Set the hostname folder (e.g., chase-com for chase.com)
HOST=chase-com

# Quick verdict comparison
echo "=== STEALTH VERDICT ===" && cat output/$HOST/stealth/report-*.json | jq '.summary.verdict'
echo "=== NORMAL VERDICT ===" && cat output/$HOST/normal/report-*.json | jq '.summary.verdict'

# Compare block status
echo "=== STEALTH BLOCKED ===" && cat output/$HOST/stealth/report-*.json | jq '.summary | {isBlocked, blockedPages, blockedVendors}'
echo "=== NORMAL BLOCKED ===" && cat output/$HOST/normal/report-*.json | jq '.summary | {isBlocked, blockedPages, blockedVendors}'

# Compare detected vendors
echo "=== STEALTH VENDORS ===" && cat output/$HOST/stealth/report-*.json | jq '.summary.vendorNames'
echo "=== NORMAL VENDORS ===" && cat output/$HOST/normal/report-*.json | jq '.summary.vendorNames'

Step 4: Interpret Comparison

ScenarioStealthNormalMeaning
No vendors detected00Site has no bot detection
Same vendors, no blocksNNBot detection present, both pass
Normal blocked, stealth passes0 blocksBlockedStealth mode is effective
Both blockedBlockedBlockedBot detection defeats stealth
Different challenge typesLighterHarderStealth reduces suspicion

Step 5: Provide Summary

After running the comparative analysis, provide a detailed summary report to the user that includes:

Summary Report Template:

## Bot Detection Comparative Analysis: [TARGET_URL]

### Verdict
- **Stealth Browser**: [verdict from summary.verdict]
- **Normal Browser**: [verdict from summary.verdict]
- **Stealth Effectiveness**: [Effective/Ineffective/Inconclusive]

### Block Status
| Browser | Blocked | Block Type | Evidence |
|---------|---------|------------|----------|
| Stealth | [Yes/No] | [blockType or N/A] | [first evidence item] |
| Normal  | [Yes/No] | [blockType or N/A] | [first evidence item] |

### Detected Vendors
| Vendor | Stealth | Normal | Products |
|--------|---------|--------|----------|
| [vendor] | ✓/✗ | ✓/✗ | [product list] |

### Analysis
- [Explain what the results mean]
- [Note any differences between stealth and normal]
- [Recommend next steps if blocked]

### Key Findings
1. [Finding 1]
2. [Finding 2]
3. [Finding 3]

Use the JSON reports to populate this template:

  • summary.verdict - The final verdict string
  • summary.isBlocked - Whether the browser was blocked
  • summary.blockedPages - Details about blocked pages
  • summary.vendorNames - List of detected vendors
  • vendorDetections - Detailed vendor/product information

Step 6: Cleanup

kernel browsers delete -y $STEALTH_ID
kernel browsers delete -y $NORMAL_ID

Interpreting Results

The analysis detects vendors and their specific products:

VendorProducts Detected
AkamaiBot Manager, Bot Manager Premier, mPulse RUM, Sensor Script, Edge DNS
CloudflareBot Management, Turnstile, Challenge Platform, JS Challenge, Managed Challenge
DataDomeInterstitial Challenge, Slider Challenge, Device Check, Picasso Fingerprint
HUMAN/PerimeterXBot Defender, Sensor SDK, Press & Hold Challenge
Imperva/IncapsulaAdvanced Bot Protection (utmvc), Advanced Bot Protection (reese84), WAF
KasadaIPS (Initial Page Security), FP (Fingerprint Endpoint), Telemetry, POW Challenge
GooglereCAPTCHA v2, reCAPTCHA v3, reCAPTCHA Enterprise
hCaptchaWidget, Enterprise
FingerprintJSFingerprint Pro, BotD
Arkose LabsFunCaptcha

Detection methods:

  • URL pattern matching for vendor scripts and endpoints
  • Cookie analysis (e.g., _abck, __cf_bm, datadome, _px*)
  • Header detection (e.g., cf-ray, x-kpsdk-*, x-d-token)
  • Challenge detection from response status codes

Vendor-specific checks:

  • DataDome: Hard IP block detection (dd.t === 'bv')
  • Akamai: Cookie validity check (~0~ indicator)
  • Kasada: Flow type detection (IPS vs FP)

Pages Analyzed

The script automatically analyzes:

  1. Homepage - Initial page load and bot detection scripts
  2. Login page - Automatically discovered via link detection or common paths (/login, /signin, etc.)

Login pages often have more aggressive bot detection due to credential stuffing prevention.

Output Files

Results are organized by target hostname in scripts/output/<hostname>/<mode>/:

  • report-<timestamp>.json - Full JSON report with vendor detections
  • screenshot-homepage-<timestamp>.png - Homepage screenshot
  • screenshot-login-<timestamp>.png - Login page screenshot (if found)

Example structure for comparative test on chase.com:

output/chase-com/
├── stealth/
│   ├── report-*.json
│   ├── screenshot-homepage-*.png
│   └── screenshot-login-*.png
└── normal/
    ├── report-*.json
    ├── screenshot-homepage-*.png
    └── screenshot-login-*.png

The JSON report includes:

  • summary: Quick access to verdict, block status, and vendor names

- verdict: Human-readable result (e.g., "BLOCKED - homepage (Error Page)") - isBlocked: Boolean - true if any page was blocked - vendorNames: Array of detected vendor names - blockedPages: Details of blocked pages with evidence

  • vendorDetections: Map of detected vendors with products, URLs, cookies, headers
  • blockDetections: Detailed block analysis for each page
  • vendorScriptsDetected: URLs of detected vendor scripts (not saved to disk)
  • networkRequests/networkResponses: All requests with vendor matching
  • cookies: All cookies with vendor attribution

Example: Comparative Session

# Create both browsers
STEALTH_ID=$(kernel browsers create -s --viewport 1920x1080@25 -t 300 -o json | jq -r '.session_id')
NORMAL_ID=$(kernel browsers create --viewport 1920x1080@25 -t 300 -o json | jq -r '.session_id')

echo "Stealth: $STEALTH_ID"
echo "Normal: $NORMAL_ID"

# Run analysis on both
cd scripts
KERNEL_API_KEY=$KERNEL_API_KEY KERNEL_BROWSER_ID=$STEALTH_ID TARGET_URL=chase.com BROWSER_MODE=stealth npm run analyze
KERNEL_API_KEY=$KERNEL_API_KEY KERNEL_BROWSER_ID=$NORMAL_ID TARGET_URL=chase.com BROWSER_MODE=normal npm run analyze

# Output structure:
# ./output/chase-com/stealth/report-*.json
# ./output/chase-com/stealth/screenshot-*.png
# ./output/chase-com/normal/report-*.json
# ./output/chase-com/normal/screenshot-*.png

# Quick comparison - check verdicts
echo "--- Stealth verdict ---"
cat output/chase-com/stealth/report-*.json | jq '.summary.verdict'

echo "--- Normal verdict ---"
cat output/chase-com/normal/report-*.json | jq '.summary.verdict'

# Detailed vendor comparison
echo "--- Stealth vendors ---"
cat output/chase-com/stealth/report-*.json | jq '.summary.vendorNames'

echo "--- Normal vendors ---"
cat output/chase-com/normal/report-*.json | jq '.summary.vendorNames'

# Cleanup
kernel browsers delete -y $STEALTH_ID
kernel browsers delete -y $NORMAL_ID

Vendor-Specific Detection Notes

Akamai

  • Cookies: _abck (core validation), bm_sz, bm_sv
  • Cookie ~0~ in _abck value = valid session

Cloudflare

  • Cookies: __cf_bm, cf_clearance
  • Challenge: /cdn-cgi/challenge-platform/
  • Turnstile: challenges.cloudflare.com/turnstile

DataDome

  • Cookie: datadome
  • dd.t === 'bv' = hard IP block (changing IP required, solving captcha won't help)

HUMAN/PerimeterX

  • Cookies: _px2, _px3, _pxhd
  • Press & Hold challenge requires behavioral simulation

Imperva/Incapsula

  • utmvc: Script via /_Incapsula_Resource
  • reese84: Cookie or x-d-token header

Kasada

  • Headers: x-kpsdk-ct, x-kpsdk-cd
  • Flow 1 (IPS): 429 on initial page load, must solve ips.js first
  • Flow 2 (FP): Background /fp fingerprint requests

平台分布

Codex

37.74%
按下载量换算646

Claude

29.38%
按下载量换算503

Cursor

19.69%
按下载量换算337

Gemini CLI

9.58%
按下载量换算164

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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