research-my-seo

research-my-seo is a skill for Claude Code, Codex from akiotanaka847/qaio-desktop. It costs 63 tokens per session (2,099 once invoked), scanned A, original, MIT.

SEO research for finding the search terms worth targeting or the websites worth contacting for links. It uses your business positioning to connect the research to the customers and market you want to reach.

In plain words
What is it for?
Use it to group keywords by what searchers want, identify major topic areas, write keyword briefs, find 15–30 potential link partners, and draft a tailored outreach email for each.
Why use it?
It removes the guesswork from choosing keywords and link-building targets. It also keeps SEO work focused on attracting the right visitors, not just more visitors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to group keywords by what searchers want, identify major topic areas, write keyword briefs, find 15–30 potential link partners, and draft a tailored outreach email for each.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akiotanaka847/qaio-desktop/research-my-seo
Install

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.

Any agent
npx skills add akiotanaka847/qaio-desktop --skill research-my-seo
Clone the repo
git clone --depth 1 https://github.com/akiotanaka847/qaio-desktop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for research-my-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/research-my-seo/github.svg)](https://agentmods.dev/skills/akiotanaka847/qaio-desktop/research-my-seo)
Your own site
<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/research-my-seo"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/research-my-seo/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.

agentmods 80×15 button for research-my-seo

Your own site · 80×15
<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/research-my-seo"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/research-my-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,099 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.02099
Opus 5 $0.00032 $0.01050
Sonnet 5 $0.00013 $0.00420
Haiku 4.5 $0.00006 $0.00210

Measured 12d ago against content hash 3e5b10a0198f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-my-seo 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.

store/agents/marketing/.agents/skills/research-my-seo/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research My SEO

One skill for the two foundational SEO research jobs. focus param picks whether you're building keyword clusters or a backlink outreach plan. Both read your positioning first so every recommendation ladders back to your ideal customer and category.

Parameter: focus

  • keywords - cluster terms by intent and difficulty via Semrush / Ahrefs, flag the 3 pillars worth owning, draft cluster briefs. Living keyword-map.md appends each new cluster. Output: keyword-clusters/{cluster-slug}.md + updates keyword-map.md.
  • backlinks - identify 15-30 target sites via SERP + backlink tool, tier by effort, draft a personalized pitch email for each one. Output: backlink-plans/{YYYY-MM-DD}.md.

User names focus in plain English ("find keywords for {topic}", "build a keyword map", "who should we pitch for links", "link-building plan") -> infer. Ambiguous -> ask ONE question naming both options.

When to use

keywords:

  • Explicit: "find keywords for {topic}", "build a keyword map", "what should we rank for", "keyword research on {topic}", "give me a cluster for {seed term}".
  • Implicit: called by write-a-post when target keyword missing, or by check-my-marketing (subject=content-gap) to size gap opportunities.
  • Run many times - one cluster per invocation. Living keyword-map.md appends each new cluster.

backlinks:

  • Explicit: "find backlinks", "who should we pitch for links", "link-building plan", "backlink targets for {topic}", "link prospecting".
  • Implicit: inside a launch plan when external amplification needed.
  • Weekly or per-campaign cadence.

Connections I need

I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing -> I name the category, ask you to connect it from the Integrations tab, stop.

  • SEO (Semrush or Ahrefs) - Required (both focuses). For keywords: pulls volumes, difficulty, and intent for every term. For backlinks: finds the target sites worth pitching and grades their authority.
  • Web scrape (Firecrawl) - Required for backlinks (reads the target's recent posts so the pitch references real work, not generic flattery). Not needed for keywords.
  • Inbox (Gmail, Outlook) - Optional for backlinks (samples your voice for the pitch emails; drafts read flat without it). Not needed for keywords.

Read the full file on GitHub · 107 lines

Changes

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.

  1. 12d ago First seen · 107 lines · 63 tokens per session scan A 3e5b10a0198f

Subscribe to this mod's changes

research-my-seo is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 63 tokens to every session and 2,099 once invoked, about $0.0003 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 2026-08-31.

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