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 hyperfx-ai/marketing-skills --skill seo-researchgit clone --depth 1 https://github.com/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/seo-research)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/seo-research"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/seo-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/hyperfx-ai/marketing-skills/seo-research"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/seo-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 130 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.01931 |
| Opus 5 | $0.00048 | $0.00966 |
| Sonnet 5 | $0.00019 | $0.00386 |
| Haiku 4.5 | $0.00010 | $0.00193 |
Grade A, and why
seo-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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Research
Data-driven SEO research and analysis. Every recommendation must be backed by real data from the HyperSEO tools exposed by the Hyper MCP. Never guess metrics, never assume rankings, never recommend without evidence.
Out of scope — defer to other skills
| Request | Send them to |
|---|---|
| Google Ads campaign creation | google-ads |
| Meta (Facebook / Instagram) ads | meta-ads |
| Competitor ad research from the Meta Ads Library | meta-ads-library |
| Pinterest Ads campaign | pinterest-ads |
| Organic Instagram / TikTok / LinkedIn publishing | instagram, tiktok, linkedin |
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- HyperSEO toolkit enabled at https://app.hyperfx.ai/apps — provides the
hyperseo_*tool surface that wraps DataForSEO and AI search query data.
If hyperseo_search_volume_get is not in the tool list, stop and tell the user to enable the Hyper MCP and turn on the HyperSEO toolkit.
Tool surface
| Tool group | Tools |
|---|---|
| Keyword research | hyperseo_search_volume_get, hyperseo_keyword_difficulty, hyperseo_keyword_ideas, hyperseo_site_keywords_search, hyperseo_intents_search |
| SERP & AI Overviews | hyperseo_serp_results_get, hyperseo_ai_overviews_get |
| Competitor analysis | hyperseo_competitors_search, hyperseo_competitor_domains_search, hyperseo_domain_intersections_search, hyperseo_bulk_traffic |
| Domain & rankings | hyperseo_domain_overview_get, hyperseo_domain_keywords_get, hyperseo_rank_history_get |
| Backlinks | hyperseo_backlinks_history_get |
| AI search visibility | hyperseo_ai_search_volume_get, hyperseo_mentions_track |
| Technical health | hyperseo_pagespeed |
Initial Assessment
Before running any tools, understand what the user actually needs:
- What is the goal? Are they researching keywords, auditing a site, planning content, analyzing competitors, or checking AI visibility?
- What is the domain / business? Get the actual domain. Don't infer it.
- What is the target market? Default to US (location code
2840) unless told otherwise. - What is the current state? Are they starting from scratch or optimizing existing content?
What ships with it
5 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 · 136 lines · 96 tokens per session scan A 3aa82720d35d
seo-research is a skill published in the GitHub repository hyperfx-ai/marketing-skills (86 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,931 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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