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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

algo-seo-crawlalgo SEO crawl 搜索

Agent Skill

algo-seo-crawl 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 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。

总安装

353

周安装

15

GitHub Stars

125

下载量

124
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:algo-seo-crawl(algo SEO crawl 搜索)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/algo-seo-crawl
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill algo-seo-crawl
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/asgard-ai-platform/skills --skill algo-seo-crawl

简介

algo-seo-crawl 实现网页自动化爬取与信息提取,支持大规模站点结构映射。

  • 适合构建站点审计工具、整理结构化数据或分析链接拓扑结构的任务。
  • 采用 BFS 或优先级队列管理 URL frontier,性能受限于 I/O 和网络延迟。
  • 需通过 GitHub 安装,使用前请确认是否允许浏览器模拟或远程页面访问。
  • 不适用于单一 API 数据获取,推荐配合 sitemap.xml 使用以提高效率。

SKILL.md

Web Crawler

Overview

A web crawler systematically traverses web pages by discovering URLs, fetching content, parsing HTML, and storing results. Uses BFS or priority-based frontier management. Performance is I/O-bound, typically limited by politeness constraints rather than compute.

When to Use

Trigger conditions:

  • Building a site audit tool to discover all pages and their link structure
  • Collecting structured data from websites at scale
  • Mapping site architecture for SEO analysis

When NOT to use:

  • When you need data from a single API endpoint (use HTTP client directly)
  • When a sitemap.xml provides all needed URLs (parse sitemap instead)

Algorithm

IRON LAW: Respect robots.txt and Rate Limits
A crawler MUST:
1. Parse and obey robots.txt before crawling any path
2. Enforce crawl-delay (default 1s if unspecified)
3. Identify itself with a descriptive User-Agent
Ignoring these is unethical and will get your IP blocked.

Phase 1: Input Validation

Parse seed URLs, fetch and parse robots.txt for each domain, set crawl scope (same-domain, subdomain, or cross-domain). Gate: Valid seed URLs, robots.txt rules loaded, scope defined.

Phase 2: Core Algorithm

  1. Initialize URL frontier with seed URLs (priority queue or FIFO)
  2. Dequeue URL, check: not visited, allowed by robots.txt, within scope
  3. Fetch page with timeout and retry logic, respect crawl-delay
  4. Parse HTML: extract links (normalize, deduplicate), extract content/metadata
  5. Enqueue discovered URLs, store parsed data
  6. Repeat until frontier empty or limit reached

Phase 3: Verification

Check: no robots.txt violations in crawl log, no duplicate pages stored, all discovered URLs accounted for. Gate: Crawl completed within scope, politeness maintained.

Phase 4: Output

Return site map with pages, link graph, and extracted metadata.

Output Format

{
  "pages": [{"url": "...", "status": 200, "title": "...", "links_out": 15, "depth": 2}],
  "metadata": {"pages_crawled": 500, "errors": 12, "duration_seconds": 300, "domain": "example.com"}
}

Examples

Sample I/O

Input: Seed: "https://example.com", max_depth: 2, max_pages: 100 Expected: Crawl tree with homepage at depth 0, linked pages at depth 1-2, respecting robots.txt

Edge Cases

InputExpectedWhy
robots.txt disallows /Zero pages crawledMust respect full disallow
Redirect loopStop after 5 redirectsPrevent infinite loop
Soft 404 (200 with error page)Flag as soft 404Status code alone is insufficient

Gotchas

  • URL normalization: http://Example.COM/path/ and http://example.com/path are the same URL. Normalize: lowercase host, remove default port, remove trailing slash, sort query params.
  • JavaScript-rendered content: A basic HTTP fetch misses JS-rendered content. Use headless browser (Playwright/Puppeteer) for SPAs.
  • Trap detection: Calendar pages, session IDs in URLs, and infinite pagination create crawler traps. Set max depth and URL pattern limits.
  • Rate limiting yourself: Parallel fetching without per-domain rate limiting will overwhelm small servers. Use per-domain semaphores.
  • Character encoding: Not all pages are UTF-8. Detect encoding from HTTP headers and meta tags; fall back to charset detection libraries.

References

  • For URL normalization rules (RFC 3986), see references/url-normalization.md
  • For distributed crawling architecture, see references/distributed-crawl.md

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

36.12%
按下载量换算45

Claude

29.6%
按下载量换算37

Cursor

19.29%
按下载量换算24

Gemini CLI

8.76%
按下载量换算11

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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