Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Buzzmatic/awesome-agent-skills --skill advertools-spidergit clone --depth 1 https://github.com/Buzzmatic/awesome-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/advertools-spider)<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/advertools-spider"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/advertools-spider/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/advertools-spider"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/advertools-spider.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.02053 |
| Opus 5 | $0.00046 | $0.01026 |
| Sonnet 5 | $0.00018 | $0.00411 |
| Haiku 4.5 | $0.00009 | $0.00205 |
Grade A, and why
advertools-spider scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Advertools Spider
Comprehensive web crawling powered by advertools.spider (Scrapy-based). Automatically extracts SEO elements and supports custom data extraction with maximum flexibility.
Quick Start
Discovery Crawl (Follow Links)
Crawl entire site starting from seed URL(s):
python scripts/crawl.py \
--url https://example.com \
--follow-links
List Crawl (Specific URLs)
Crawl only specified URLs without following links:
python scripts/crawl.py \
--url-list urls.txt
URLs file format (one per line):
https://example.com/page1
https://example.com/page2
https://example.com/page3
Crawl Modes
Discovery Mode (--follow-links): Start with seed URL(s) and recursively discover pages by following links. Use for site-wide audits, comprehensive crawls, and exploration.
List Mode (default): Crawl only the specified URLs without discovery. Use for targeted analysis, competitor research, SERP URL audits, or when you have a predetermined list.
Extracted Data
Default SEO Elements
Automatically extracted without configuration:
- Metadata: title, meta description, meta keywords, canonical, hreflang
- Headings: h1, h2, h3, h4, h5, h6 (with counts)
- Open Graph: og:title, og:description, og:image, og:type, etc.
- Twitter Cards: twitter:card, twitter:title, twitter:description, etc.
- Structured Data: JSON-LD extraction
- Links: all internal/external links with anchor text, rel attributes
- Images: src, alt text, dimensions
- Technical: status codes, response time, redirect chains, IP addresses, response headers
- Content: body text, word count
Custom Extraction
Extract specific data using CSS or XPath selectors:
CSS Selectors:
python scripts/crawl.py \
--url https://shop.com \
--follow-links \
--css-selectors '{"price": ".product-price", "rating": ".star-rating", "reviews": ".review-count"}'
XPath Selectors:
python scripts/crawl.py \
--url https://example.com \
--xpath-selectors '{"author": "//article//span[@class=\"author\"]/text()", "date": "//time/@datetime"}'
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 281 lines · 91 tokens per session scan A 9a3b40a715ea
advertools-spider is a skill published in the GitHub repository Buzzmatic/awesome-agent-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 2,053 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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