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 PavloSEO/seohead-seotools --skill seo-recongit clone --depth 1 https://github.com/PavloSEO/seohead-seotoolsWrote 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/pavloseo/seohead-seotools/seo-recon)<a href="https://agentmods.dev/skills/pavloseo/seohead-seotools/seo-recon"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-recon/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/pavloseo/seohead-seotools/seo-recon"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/seo-recon.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 | $0.00188 | $0.01403 |
| Opus 5 | $0.00094 | $0.00701 |
| Sonnet 5 | $0.00038 | $0.00281 |
| Haiku 4.5 | $0.00019 | $0.00140 |
Grade A, and why
seo-recon scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`whois "$IP"` (OrgName/netname/ASN), `curl -sIL "https://$DOM"` (CDN headers: How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Recon — Domain, Hosting, Stack, and Cache Reconnaissance
External domain and infrastructure reconnaissance covers what an sf-analyzer crawl does not provide: the registrar and domain age, where the server is hosted and on which ASN, which CDN sits in front of the site and whether its cache actually works, which CMS/framework the site is built with, and how traffic is measured.
These are no longer manual Bash steps, but three tools in the seohead toolkit
(CLI + MCP + HTTP). Each returns ready-to-use JSON with a findings block containing
plain-language conclusions. In MCP, they are seo_domain_profile, seo_cdn_check,
and seo_tech_detect.
When to Use It
- "what hosting provider does the site use," "where is the server," "which ASN / provider hosts it";
- "does it use Cloudflare," "which CDN," "does caching work," "why is it slow";
- "which CMS," "which site engine," "what is the site built with," "how is traffic measured," stack detection;
- "domain whois," "domain age," "when was it registered," "who is the registrar," TLS/expiration;
- a quick competitor profile before a crawl audit.
Workflow (All Three Tools by Default)
1. Domain profile. Registration, DNS, hosting, ASN, location, and TLS in one call:
seohead domain-profile --domain example.com
The response contains: registration (registrar, age_years, expires_in_days, statuses),
dns (A/AAAA/NS/MX/TXT, dns_provider, mail_provider, spf, dmarc),
hosting (ip, asn, as_name, network, country, reverse_dns),
tls (issuer, expires, days_left), and flags — risks summarized in one line.
Registration data comes from RDAP; for ccTLDs without RDAP (.by and some .ru
domains), the tool automatically falls back to the system whois command. If it is
unavailable, the tool honestly marks source: none instead of inventing data.
2. CDN and cache. Not whether caching is configured on paper, but whether it works:
seohead cdn-check --url https://example.com
The tool makes three requests: an initial request, a repeat request (to catch
MISS → HIT), and a conditional request (to check for 304). The response contains:
cdn, transport (HTTP version — the http_version_measurable field honestly states
when it cannot be measured without the h2 package; HTTP/3 in Alt-Svc, brotli/gzip,
and the TTFB of the first and second requests), and cache (parsed cache_control,
etag/last_modified, hit_first/hit_second, warmed_up, and revalidation).
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.
- 10d ago First seen · 92 lines · 188 tokens per session scan A c374bf8486a3
seo-recon is a skill published in the GitHub repository PavloSEO/seohead-seotools (0 stars, last pushed 7d ago), licensed MIT. It adds 188 tokens to every session and 1,403 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
fire-your-seo-agency
A procedure for improving how a website appears in search engines and how AI answer systems find and cite it. It covers search, answer-engine, generative-AI, and Naver visibility.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
validation-doctor
Check Brave Search and Chrome DevTools MCP availability and provide exact setup snippets. Use when validation dependencies are missing or uncertain.
geo-content-research
Researches what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.