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 joaoguirunas/team-os --skill seo-clustergit clone --depth 1 https://github.com/joaoguirunas/team-osWrote 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/joaoguirunas/team-os/seo-cluster)<a href="https://agentmods.dev/skills/joaoguirunas/team-os/seo-cluster"><img src="https://agentmods.dev/badge/skills/joaoguirunas/team-os/seo-cluster/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/joaoguirunas/team-os/seo-cluster"><img src="https://agentmods.dev/badge/skills/joaoguirunas/team-os/seo-cluster.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 | $0.00081 | $0.03239 |
| Opus 5.5 | $0.00032 | $0.01296 |
| Sonnet 5.5 | $0.00016 | $0.00648 |
| Haiku 4.5 | $0.00008 | $0.00324 |
Grade A, and why
seo-cluster 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 20d 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.
This is a copy
91% identical to seo-cluster — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semantic Topic Clustering
Quando usar esta vs. sites-seo-keywords: esta agrupa keywords pela sobreposição real de SERP e desenha clusters pilar-e-satélite com matriz de links internos. Para a pesquisa inicial de keywords e o mapeamento por página do site, use sites-seo-keywords.
SERP-overlap-driven keyword clustering for content architecture. Groups keywords by how Google actually ranks them (shared top-10 results), not by text similarity. Designs hub-and-spoke content clusters with internal link matrices and generates interactive cluster map visualizations.
Scripts: Located at the plugin root scripts/ directory.
Quick Reference
| Command | What it does |
|---|---|
/seo cluster plan <seed-keyword> |
Full planning workflow: expand, cluster, architect, visualize |
/seo cluster plan --from strategy |
Import from existing /seo plan output |
/seo cluster execute |
Execute plan: create content via claude-blog or output briefs |
/seo cluster map |
Regenerate the interactive cluster visualization |
Planning Workflow
Step 1: Seed Keyword Expansion
Expand the seed keyword into 30-50 variants using WebSearch:
- Related searches: Search the seed, extract "related searches" and "people also search for"
- People Also Ask (PAA): Extract all PAA questions from SERP results
- Long-tail modifiers: Append common modifiers: "best", "how to", "vs", "for beginners", "tools", "examples", "guide", "template", "mistakes", "checklist"
- Question mining: Generate who/what/when/where/why/how variants
- Intent modifiers: Add commercial modifiers: "pricing", "review", "alternative", "comparison", "free", "top"
Deduplication: Normalize variants (lowercase, strip articles), remove exact duplicates. Target: 30-50 unique keyword variants. If under 30, run a second expansion pass with the top PAA questions as seeds.
Step 2: SERP Overlap Clustering
This is the core differentiator. Load references/serp-overlap-methodology.md for
the full algorithm.
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.
- 20d ago Changed · -3 lines · -15 tokens per session 25a8d7560ffc
- 25d ago First seen · 323 lines · 96 tokens per session scan A 04908ddd83db
seo-cluster is a skill published in the GitHub repository joaoguirunas/team-os (4 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 3,239 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to seo-cluster, differing in 15 lines, and is treated as a copy.
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