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

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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

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

37.74%
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

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可疑

Snyk

可疑

权限和风险

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 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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