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Agent Skill · 研究检索

web-front-scanner(卷筒纸正面扫描仪)

web-front-scanner 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

web-front-scanner 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,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 12,415。

总安装 10,282周安装 420GitHub Stars 2下载 3,293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
MIT-0
版本
1.0.0

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:web-front-scanner(卷筒纸正面扫描仪)
来源仓库:https://github.com/enderphan94/web-front-scanner
安装命令:
openclaw skills install web-front-scanner
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install web-front-scanner

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。

执行客户端浏览器安全评估与渗透测试审核。检测XSS、CSRF、DOM型漏洞等前端安全隐患。输出详细报告并提出修复建议措施。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。仅限授权范围内使用,禁止非法入侵他人系统。

web-front-scanner 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 OpenClaw;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 openclaw skills install web-front-scanner;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

    它需要操作浏览器,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

web-front-scanner 怎么安装?

在终端执行 openclaw skills install web-front-scanner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

web-front-scanner 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

web-front-scanner 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

web-front-scanner 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

web-front-scanner 用的人多吗?

公开数据是累计安装 10,282 次,近一周安装 420 次,下载 3,293 次,GitHub 2 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。

web-front-scanner 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 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 OpenClaw,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

  • 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
web-front-scanner

卷筒纸正面扫描仪 · 本页

10,2822操作浏览器MIT-0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

name
client-side-pentest
description
>

Client-Side / Front-End Security Assessment

A skill for conducting thorough, non-destructive client-side security reviews of web applications, producing a structured Markdown report covering all major browser-facing attack surface categories.


Setup: Fill in Before Starting

Before executing, confirm these values with the user if not already provided:

VariableDescription
TARGETPrimary target URL
LOGINLogin URL or credentials (if authenticated testing is in scope)
CRED_AREASCredential areas needing extra attention
TOOLS_DIRPath to any custom tools folder
SCOPEClient-side and front-end only (unless user explicitly extends)

Authorization & Safety Constraints

  • This assessment is authorized by the asset owner
  • Non-destructive only — no DoS, brute force, spam, mass account creation, credential attacks
  • Keep request volume moderate; avoid noisy scans unless the user explicitly approves
  • Prefer passive analysis first, then low-risk validation
  • Only attempt proof-of-concept when necessary to confirm a finding
  • Never exceed the defined scope without explicit user approval

Mission

Identify the following across the client-side attack surface:

  1. Vulnerable / outdated client-side dependencies (JS libraries, third-party scripts)
  2. Sensitive information exposed in client-side assets (keys, tokens, internal endpoints, configs, source maps)
  3. Client-side vulnerabilities — see full checklist below

Vulnerability Checklist

Cover all of the following (mark each as Confirmed / Likely / Informational / False Positive):

Injection & Scripting

  • [ ] Reflected XSS
  • [ ] Stored XSS
  • [ ] DOM-based XSS
  • [ ] Mutation XSS (mXSS)
  • [ ] Client-Side Template Injection (CSTI)
  • [ ] HTML Injection
  • [ ] CSS Injection
  • [ ] Dangling markup injection
  • [ ] Unsafe use of innerHTML, outerHTML, document.write
  • [ ] Unsafe eval / dynamic code execution

Redirects & Framing

  • [ ] Open redirect
  • [ ] DOM-based open redirect
  • [ ] Reverse tabnabbing / window.opener abuse
  • [ ] Clickjacking / UI redressing
  • [ ] Unsafe iframe embedding
  • [ ] Weak iframe sandboxing
  • [ ] Form action hijacking

Cross-Origin & Trust

  • [ ] CORS misconfiguration
  • [ ] postMessage flaws (origin validation)
  • [ ] Cross-site WebSocket hijacking
  • [ ] Missing Subresource Integrity (SRI) on third-party scripts
  • [ ] Unsafe third-party script trust

Caching & Service Workers

  • [ ] Web cache deception
  • [ ] Web cache poisoning
  • [ ] Service worker abuse / misconfiguration
  • [ ] Offline cache poisoning

Data Exposure

  • [ ] JWT / token leakage in localStorage / sessionStorage / cookies
  • [ ] Sensitive data in JS bundles or source
  • [ ] Source map exposure (.map files reachable)
  • [ ] Hardcoded secrets / API keys in frontend code
  • [ ] Stack traces or debug data visible to client
  • [ ] Hidden admin functionality / feature flags exposed

Client-Side Logic & Manipulation

  • [ ] Client-side authorization bypass
  • [ ] Business logic manipulation in browser
  • [ ] Parameter tampering
  • [ ] Hidden field manipulation
  • [ ] Client-side prototype pollution
  • [ ] Insecure client-side deserialization
  • [ ] Client-side path traversal
  • [ ] DOM clobbering

Browser & Misc

  • [ ] CSRF risk from frontend request patterns
  • [ ] Mixed content
  • [ ] MIME sniffing / content-type confusion
  • [ ] Referer leakage
  • [ ] Browser history leakage
  • [ ] Autofill abuse / credential leakage
  • [ ] Clipboard abuse
  • [ ] File upload client-side validation bypass
  • [ ] XS-Leaks
  • [ ] LocalStorage / SessionStorage abuse
  • [ ] Vulnerable third-party JavaScript libraries (CVE-matched)

Methodology (Execute in Order)

Phase 1 — Reconnaissance & Asset Enumeration

  • Crawl target: enumerate pages, scripts, endpoints, static assets
  • Identify JS bundles, source maps (.map), manifests, service workers, web workers
  • Enumerate first-party and third-party JS resources (CDN scripts, analytics, tag managers)
  • Check storage usage: localStorage, sessionStorage, IndexedDB, cookies
  • Identify public config artifacts: robots.txt, sitemap.xml, .well-known/*, manifest.json
  • Review HTTP response headers: CSP, CORS, X-Frame-Options, X-Content-Type-Options,

Referrer-Policy, Permissions-Policy, HSTS

Tools to use: curl, wget, browser DevTools, gau, waybackurls, hakrawler, katana, subfinder, httpx, nuclei, custom scripts in TOOLS_DIR, Chrome (manual review)

Phase 2 — Static Analysis

  • Download and review all reachable JS bundles and source maps
  • Search for: hardcoded keys, tokens, credentials, internal URLs, debug flags, feature flags
  • Parse source maps to reconstruct original source where available
  • Identify JS library names and versions; cross-reference against known CVEs (RetireJS, Snyk DB)
  • Review HTML for: inline scripts, hidden fields, form actions, iframes, rel="noopener" presence
  • Review CSP policy for bypasses (wildcards, unsafe-inline, unsafe-eval, missing directives)

Tools: retire.js, npm audit, semgrep, grep/ripgrep, browser DevTools Sources tab, js-beautify, source-map CLI

Phase 3 — Targeted Low-Risk Runtime Validation

  • Open the target in Chrome; observe network requests, console errors, storage
  • Test CORS by issuing cross-origin requests with crafted Origin headers
  • Check postMessage handlers: send crafted messages with untrusted origins
  • Test open redirect candidates with controlled payloads
  • Test XSS candidates with non-alerting, non-destructive probes (e.g., unique string reflection)
  • Inspect cookies: flags (HttpOnly, Secure, SameSite), scope, expiry
  • Check service workers: scope, fetch event handlers, cache strategies
  • Test iframe embedding from external origin

Phase 4 — Risk Confirmation (Only Where Needed)

  • Construct minimal PoC to confirm exploitability where finding is likely but unconfirmed
  • Do not automate or repeat; single manual validation only
  • Document exact reproduction steps

JavaScript Library Review Format

For each identified library:

FieldValue
Library name
Detected version
File path / URL
Evidence
Known CVEs / issues
AssessmentVulnerable / Outdated / OK
Security relevance

Running Log (Keep Updated Throughout)

Maintain a running log as you work:

[STEP] Description of action
[TOOL] Tool and command used
[OUTPUT] Key evidence or finding
[CONFIDENCE] High / Medium / Low

Output

Save the final report as:

client_side_pentest_report.md

in the current working directory.


Report Structure

# Client-Side Penetration Test Report

## Executive Summary
## Scope & Assumptions
## Methodology
## Asset Inventory (client-side relevant)
## JavaScript Library Inventory
## Sensitive Data Exposure Findings
## Vulnerability Findings
## Informational Observations
## False Positives Ruled Out
## Recommended Remediation
## Appendix (commands, URLs, raw evidence, notes)

Per-Finding Format

### [FINDING TITLE]

- **Severity**: Critical / High / Medium / Low / Informational
- **CWE**: CWE-XXXX — [name]
- **Affected asset(s)**:
- **Description**:
- **Evidence**:
- **Reproduction steps**:
- **Security impact**:
- **Likelihood / Confidence**: Confirmed / Likely / Informational / False Positive
- **Remediation**:
- **References**:

Execution Style

  • Be systematic, concise, and technical
  • Prefer high signal over noisy output
  • Do not stop at the first issue — continue until all phases are complete
  • Distinguish clearly between Confirmed, Likely, Informational, and False Positive findings
  • Do not overstate severity; be skeptical and evidence-driven
  • If a noisier step is needed (e.g., active scanning, fuzzing), pause and ask the user for approval

with a clear explanation of what will be done and why

平台分布

OpenClaw

92.99%
按下载量换算3,062

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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