Tmux
trpc-group/trpc-agent-go
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage.
Install Algo SEO Crawl
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-crawl --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-seo-crawl .claude/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .claude/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawlType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-crawl --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-seo-crawl .agents/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .agents/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-crawl --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-seo-crawl .cursor/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .cursor/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgard-ai-platform/skills.git --path algo-seo-crawl--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-crawl --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-seo-crawl .gemini/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .gemini/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgard-ai-platform/skills algo-seo-crawlInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-seo-crawl .github/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .github/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-crawl --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-seo-crawl .opencode/skills/algo-seo-crawl && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "algo-seo-crawl" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-crawl into .opencode/skills/algo-seo-crawl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-crawl", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
algo-seo-crawl- GitHub stars
- 242
- Token cost
- ~993 tokens
- SKILL.md length
- 400 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to build a site crawler
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Algo SEO Crawl is an agent skill from asgard-ai-platform/skills. Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage. Use this skill when the user needs to build a site crawler, audit website structure, or collect web data systematically — even if they say 'scrape a website', 'crawl all pages', or 'site audit spider'.
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/distributed-crawl.md` and `references/url-normalization.md`).
It sits in Data & Analytics, covering Web scraping. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to build a site crawler
- Audit website structure
- Collect web data systematically — even if they say scrape a website
- Crawl all pages
Example prompts
- “scrape a website”
- “crawl all pages”
- “site audit spider”
- “/algo-seo-crawl”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Algo SEO Crawl loads about 993 tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 400 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 400 words, ~993 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-seo-crawl/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- algo-seo-crawl
- description
- Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage. Use this skill when the user needs to build a site crawler, audit website structure, or collect web data systematically — even if they say 'scrape a website', 'crawl all pages', or 'site audit spider'.
- metadata.category
- WP-35 SEO 演算法
- metadata.tags
- seo, web-crawler, scraping, site-audit
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
- Initialize URL frontier with seed URLs (priority queue or FIFO)
- Dequeue URL, check: not visited, allowed by robots.txt, within scope
- Fetch page with timeout and retry logic, respect crawl-delay
- Parse HTML: extract links (normalize, deduplicate), extract content/metadata
- Enqueue discovered URLs, store parsed data
- 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
Show full SKILL.md (172 more words)Show less
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
| Input | Expected | Why |
|---|---|---|
| robots.txt disallows / | Zero pages crawled | Must respect full disallow |
| Redirect loop | Stop after 5 redirects | Prevent infinite loop |
| Soft 404 (200 with error page) | Flag as soft 404 | Status code alone is insufficient |
Gotchas
- URL normalization:
http://Example.COM/path/andhttp://example.com/pathare 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
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in algo-seo-crawl of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/distributed-crawl.md
- references/url-normalization.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo SEO Crawl next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Algo SEO Crawl this skillasgard-ai-platform/skills | 242 | — | ~993 | Automated safety check: Pass | MIT | |
| Tmuxtrpc-group/trpc-agent-go | 1.9k | 23 repos | ~868 | Automated safety check: Pass | Apache-2.0 | |
| Ketch1broseidon/ketch | 702 | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Boss Zhipin Scrapereatmoreduck/boss-zhipin-scraper | 1.5k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Crawl4AI Web Scrapingsmallnest/goclaw | 599 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Axyusukebe/ax | 719 | 1 repos | ~918 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Algo SEO Crawl
What does Algo SEO Crawl do?
Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage. Algo SEO Crawl is an agent skill from asgard-ai-platform/skills. Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage.
When should I use Algo SEO Crawl?
Algo SEO Crawl fits situations like: the user needs to build a site crawler; audit website structure; collect web data systematically — even if they say scrape a website; crawl all pages.
How do I install Algo SEO Crawl in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a claude-code`. Or copy the skill folder (algo-seo-crawl in asgard-ai-platform/skills) into .claude/skills/algo-seo-crawl in your project. Claude Code loads it when a task matches its description.
How do I install Algo SEO Crawl in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a codex`. Or copy the skill folder (algo-seo-crawl in asgard-ai-platform/skills) into .agents/skills/algo-seo-crawl in your project. Codex loads it when a task matches its description.
Can I use Algo SEO Crawl in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill algo-seo-crawl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-seo-crawl, .gemini/skills/algo-seo-crawl, .github/skills/algo-seo-crawl and .opencode/skills/algo-seo-crawl in your project.
What does Algo SEO Crawl need to run?
SKILL.md names no scripts, command-line tools or credentials: Algo SEO Crawl is instructions for the agent only.
Does Algo SEO Crawl access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Algo SEO Crawl safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Algo SEO Crawl use?
Algo SEO Crawl is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Algo SEO Crawl use?
About 993 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6k tokens, read only when the agent opens those files.
What are the alternatives to Algo SEO Crawl?
Skills that share tags, products or a category with Algo SEO Crawl: Tmux (trpc-group/trpc-agent-go, 1.9k stars), Ketch (1broseidon/ketch, 702 stars), Boss Zhipin Scraper (eatmoreduck/boss-zhipin-scraper, 1.5k stars) and Crawl4AI Web Scraping (smallnest/goclaw, 599 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo SEO Crawl?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.