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研究检索操作浏览器github未标认证来源可访问许可证需确认审计提醒

audit-site审核现场

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

269

周安装

11

GitHub Stars

公开资料未说明

下载量

86
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:audit-site(审核现场)
来源仓库:https://github.com/crawlio-app/crawlio-plugin
仓库路径:skills/audit-site
安装命令:
npx skills add https://github.com/crawlio-app/crawlio-plugin --skill audit-site
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/crawlio-app/crawlio-plugin --skill audit-site

简介

对网站进行全面技术栈分析,包括爬虫抓取、增强数据整理和问题识别,生成可执行发现报告。

  • 支持自定义并发数、爬取延迟和 robots.txt 策略,适应不同规模和复杂度的站点审计需求。
  • 输出涵盖技术栈、性能瓶颈和安全隐患的综合评估,助力网站优化和风险控制。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加,支持 Codex、Claude、Cursor 等宿主环境。
  • 涉及大规模爬取时应注意遵守目标站点的访问频率限制,避免触发反爬机制或服务拒绝。

SKILL.md

audit-site

Perform a comprehensive site audit: crawl, capture enrichment, analyze observations, and produce a findings report.

When to Use

Use this skill when the user wants a thorough analysis of a website — not just downloading it, but understanding its technology stack, identifying issues, and producing actionable findings.

Full Audit Workflow

Phase 1: Configure for the Target

First, understand the site and configure appropriately:

update_settings({
  settings: {
    maxConcurrent: 4,
    crawlDelay: 0.5,
    stripTrackingParams: true
  },
  policy: {
    scopeMode: "sameDomain",
    maxDepth: 5,
    respectRobotsTxt: true,
    includeSupportingFiles: true,
    downloadCrossDomainAssets: true,
    autoUpgradeHTTP: true
  }
})

Adjust based on site size:

  • Small site (<100 pages): maxDepth: 10, maxConcurrent: 8
  • Medium site (100-1000): maxDepth: 5, maxConcurrent: 4
  • Large site (1000+): maxDepth: 3, maxPagesPerCrawl: 500

Phase 2: Crawl

start_crawl({ url: "https://example.com" })

Monitor until complete:

get_crawl_status()
// Repeat with `since` parameter for efficient polling

Phase 3: Capture Enrichment (if crawlio-agent available)

If the Chrome extension is running, enrichment data (framework detection, network requests, console logs) is captured automatically during the crawl and appended to the observation log.

Phase 4: Analyze Observations

Query the observation timeline for patterns:

// Get all observations for the target
get_observations({ host: "example.com", limit: 200 })

// Check framework detection
get_observations({ host: "example.com", source: "extension", limit: 50 })

// Review crawl results
get_observations({ op: "crawl_done" })

// Check for errors
get_errors()
get_failed_urls()

Phase 5: Create Findings

For each issue or insight identified, create a finding with evidence:

create_finding({
  title: "...",
  url: "https://example.com",
  evidence: ["obs_xxx", "obs_yyy"],
  synthesis: "..."
})

Phase 6: Generate Report

Compile findings into a structured report:

get_findings({ host: "example.com" })

Present as a summary with:

  • Technology Stack: Framework, rendering mode, CDN
  • Issues Found: Grouped by category (security, performance, SEO, errors)
  • Site Structure: Tree overview, orphaned pages, broken links
  • Recommendations: Prioritized action items

Audit Checklist

Use this checklist to ensure thorough coverage:

Technology

  • Framework detected (React, Vue, Next.js, etc.)
  • Rendering mode identified (SSR, SSG, CSR, ISR)
  • CDN/hosting identified
  • Third-party services cataloged

Performance

  • Page count and crawl duration noted
  • Large files identified (images, videos, scripts)
  • External resource dependencies mapped

Security

  • HTTPS enforcement checked
  • Mixed content identified
  • Security headers reviewed (if captured in network data)

Content

  • Failed URLs reviewed and categorized
  • Redirect chains identified
  • Missing resources noted

Structure

  • Site tree reviewed for organization
  • Depth distribution analyzed
  • Cross-domain assets cataloged

Example Report Structure

# Site Audit: example.com

## Summary
- **Pages crawled**: 142
- **Failed**: 4 (3 auth-required API routes, 1 timeout)
- **Framework**: Next.js (App Router, ISR)
- **Total size**: 23.4 MB

## Findings (5)

### Security
1. **Mixed content on 3 pages** — HTTP images loaded on HTTPS pages
   Evidence: obs_a3f7b2c1, obs_b4e8c3d2

### Performance
2. **Unoptimized images** — 8 images over 500KB without modern formats
   Evidence: obs_c5f9d4e3

### SEO
3. **Missing meta descriptions** — 12 pages have no meta description
4. **Duplicate titles** — 3 pairs of pages share identical titles

### Errors
5. **Console errors on product pages** — TypeError in cart widget
   Evidence: obs_d6g0e5f4

## Recommendations
1. Convert images to WebP/AVIF format
2. Fix mixed content by updating CDN URLs to HTTPS
3. Add unique meta descriptions to all pages
4. Fix TypeError in cart widget JavaScript

Tips

  • Save the project after crawling so you can revisit: save_project({name: "example.com audit"})
  • For recurring audits, load the project and recrawl to compare: load_project({id: "..."})
  • Use export_site({format: "folder"}) to archive the downloaded content
  • Combine with crawlio-agent browser interaction tools for authenticated areas

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

33.26%
按下载量换算29

Claude

29.39%
按下载量换算25

Cursor

19.16%
按下载量换算16

Gemini CLI

8.85%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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 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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