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 brainbytes-dev/everything-claude-marketing --skill seo-keyword-researchgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/seo-keyword-research)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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/brainbytes-dev/everything-claude-marketing/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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 | $0.00028 | $0.02660 |
| Opus 5.5 | $0.00011 | $0.01064 |
| Sonnet 5.5 | $0.00006 | $0.00532 |
| Haiku 4.5 | $0.00003 | $0.00266 |
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 2mo 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Keyword Research
When to Activate
Use this skill when planning content strategy, identifying new ranking opportunities, building topic clusters, analyzing competitors' organic strategy, or prioritizing which pages to create or optimize. This is the foundation of any organic growth strategy.
First Questions
- What does the business do and who is the target audience?
- What are the core products, services, or topics?
- What is the site's current domain authority/strength? (determines feasible keyword difficulty)
- What's the goal? (traffic, leads, sales, brand awareness)
- What content already exists? (avoid cannibalization, find gaps)
- Who are the top 3-5 organic competitors?
Search Intent Classification
Before targeting any keyword, classify its intent. Google rewards pages that match search intent — mismatched intent will never rank.
The Four Intent Types
| Intent | Description | SERP Signals | Content Format |
|---|---|---|---|
| Informational | User wants to learn something | Blog posts, guides, wikis, knowledge panels, PAA boxes | How-to guides, explainers, lists |
| Navigational | User wants to find a specific site or page | Brand results dominate, site links | Homepage, specific product/brand page |
| Commercial Investigation | User is researching before a purchase | Comparison articles, review sites, "best of" lists | Comparison posts, reviews, buyer's guides |
| Transactional | User is ready to buy or take action | Product pages, pricing pages, shopping results, ads | Product pages, pricing pages, signup pages |
Intent Identification Method
- Google the keyword — What types of results does Google show?
- Look at the top 5 results — Are they blog posts? Product pages? Landing pages?
- Check SERP features — Shopping results = transactional. Featured snippets = informational.
- Examine the language — "How to," "what is" = informational. "Best," "vs," "review" = commercial. "Buy," "pricing," "coupon" = transactional.
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.
- 2mo ago First seen · 250 lines · 28 tokens per session scan A 8bac3ee40586
seo-keyword-research is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 2,660 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
seo-keyword-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| seo-keyword-researchbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 28 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |