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 seranking/seo-skills --skill seo-sxogit clone --depth 1 https://github.com/seranking/seo-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/seranking/seo-skills/seo-sxo)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-sxo"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-sxo/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/seranking/seo-skills/seo-sxo"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-sxo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02639 |
| Opus 5 | $0.00046 | $0.01319 |
| Sonnet 5 | $0.00018 | $0.00528 |
| Haiku 4.5 | $0.00009 | $0.00264 |
Grade A, and why
seo-sxo 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 12d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-sxo-bigin-com-20260514/SXO-REPORT.md
SEO SXO — Search Experience Optimization
Diagnose why a "well-optimized" page doesn't rank. Reads the actual SERP for the target keyword, infers the page type Google is rewarding, scores the candidate page against that pattern from multiple persona perspectives, and recommends the page format that would win the SERP.
Acknowledgements: SXO-as-a-skill framework originated in
claude-seoby AgriciDaniel (with the original concept credited to Florian Schmitz, Pro Hub Challenge). MIT-licensed both directions; this implementation is independent but the framing is theirs.
Prerequisites
- SE Ranking MCP server connected.
- Claude's
WebFetchtool available. - User provides: (a) target page URL, (b) target keyword the page is meant to rank for, optionally (c) target country (default
us).
Process
-
Validate inputs. Both URL and keyword are required. If keyword missing, ask the user — don't infer.
-
Pull the SERP
DATA_getSerpResultsandDATA_getSerpTaskAdvancedResults- Top 10 organic results with URL, title, snippet.
- SERP features: AI Overview presence, People Also Ask, image carousel, video carousel, shopping pack, Twitter pack, Featured Snippet, etc.
- Mode selection (cost driver — read this). SERP feature data (AIO/PAA/carousels) only comes back when the task runs with
result_type=advanced. That is also the most expensive single call this skill makes (≈ 700 credits per keyword on heavily-trafficked terms in the 2026-04 validation run).- Default —
mode=full: runsresult_type=advanced. Returns features + organic. Use when persona scoring needs PAA / AIO / pack signals (most cases). mode=lite(result_type=standard): organic top-10 only, no SERP features, ≈ 50–100 credits. Use when (a) the user is screening many keywords and SERP features aren't load-bearing, (b) credits are constrained, (c) the user explicitly asks for a cheap pass. The persona scoring still runs but the SERP-features row inSXO-REPORT.mdwill read(skipped — lite mode)and the dominant-pattern detection will rely on URL/title heuristics alone.- Surface the chosen mode + estimated cost up front. If the user didn't specify and the keyword looks ad-heavy or commercial-high-volume, recommend
mode=litefirst and re-run withmode=fullonly if dominant-pattern confidence is low.
- Default —
What ships with it
2 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.
- 12d ago First seen · 147 lines · 91 tokens per session scan A 547b56842fd1
seo-sxo is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 2,639 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 2026-08-30.
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