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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill seo-clustergit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-cluster)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-cluster"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-cluster"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/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 | $0.00096 | $0.03140 |
| Opus 5.5 | $0.00038 | $0.01256 |
| Sonnet 5.5 | $0.00019 | $0.00628 |
| Haiku 4.5 | $0.00010 | $0.00314 |
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 1mo 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
98% identical to seo-cluster — 59 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semantic Topic Clustering (v1.9.0)
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.
Process:
- Group keywords by initial intent guess (reduces pairwise comparisons)
- For each candidate pair within a group, WebSearch both keywords
- Count shared URLs in the top 10 organic results (ignore ads, featured snippets, PAA)
- Apply thresholds:
What ships with it
3 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.
- 1mo ago First seen · 323 lines · 96 tokens per session scan A 02e881fa96ab
seo-cluster is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 24d ago), licensed MIT. It adds 96 tokens to every session and 3,140 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to seo-cluster, differing in 59 lines, and is treated as a copy.
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