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 Thibaultbm/claude-seo-geo --skill seo-keyword-researchgit clone --depth 1 https://github.com/Thibaultbm/claude-seo-geoWrote 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/thibaultbm/claude-seo-geo/seo-keyword-research)<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-keyword-research/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/thibaultbm/claude-seo-geo/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-keyword-research.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 | $0.00126 | $0.05249 |
| Opus 5 | $0.00063 | $0.02625 |
| Sonnet 5 | $0.00025 | $0.01050 |
| Haiku 4.5 | $0.00013 | $0.00525 |
Grade A, and why
seo-keyword-research 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 — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Keyword Research and AI Prompt Research
Keyword research matches the exact language buyers use to the pages a site offers. In 2026 it produces two deliverables, not one:
- A keyword map: every target query validated against real usage, assigned to one search intent and one page.
- A buyer prompt panel: 50-100 questions buyers ask AI assistants (ChatGPT, Perplexity, Google AI Mode, Claude, Gemini), each mapped to a page that can earn the citation.
Everything in this skill works with free sources: Google Search Console, Google autocomplete, People Also Ask, competitor sitemaps, Reddit, Wikipedia, and the words customers already use in support tickets and sales calls. Paid tools are an optional final layer, never a prerequisite.
Company knowledge first (Obsidian)
If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed. Vault structure, read-first and write-back protocols: the obsidian-brain skill.
When to use this skill
Use this skill when the user:
- Asks which keywords to target, what to write about, or how people search for their product or service.
- Wants a content plan, an editorial calendar, a topic cluster, or a content gap analysis.
- Suspects two pages compete for the same query (cannibalization).
- Wants quick wins from existing Google Search Console data.
- Asks which prompts buyers type into ChatGPT or Perplexity (prompt research, query fan-out, AI topic selection).
- Is about to brief any new page: blog post (seo-content-blog), product page (seo-content-product-page), service page (seo-content-service-page), or collection page (seo-content-collection-page).
What ships with it
1 file 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 · 322 lines · 126 tokens per session scan A 0145ea6fbb66
seo-keyword-research is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (16 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 5,249 once invoked, about $0.0006 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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