dataseo-seo-research

dataseo-seo-research is a skill for Claude Code, Codex from egebese/dataseo-mcp. It costs 76 tokens per session (750 once invoked), scanned A, original, no licence file.

An SEO research workflow using DataSEO, a service for examining search visibility and competing websites.

In plain words
What is it for?
Use it for keyword research, backlink and traffic analysis, domain comparisons, finding backlink opportunities, planning questions for AI search, and creating SEO content briefs.
Why use it?
It gathers the research needed to understand a website’s search performance and decide what content or links to pursue.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for keyword research, backlink and traffic analysis, domain comparisons, finding backlink opportunities, planning questions for AI search, and creating SEO content briefs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/egebese/dataseo-mcp/dataseo-seo-research
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 egebese/dataseo-mcp --skill dataseo-seo-research
Clone the repo
git clone --depth 1 https://github.com/egebese/dataseo-mcp

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 dataseo-seo-research

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

agentmods 80×15 button for dataseo-seo-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/egebese/dataseo-mcp/dataseo-seo-research"><img src="https://agentmods.dev/badge/skills/egebese/dataseo-mcp/dataseo-seo-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 750 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 unknown 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 $0.00076 $0.00750
Opus 5.5 $0.00030 $0.00300
Sonnet 5.5 $0.00015 $0.00150
Haiku 4.5 $0.00008 $0.00075

Measured 2mo ago against content hash 19fddbca2542, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dataseo-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 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.

skills/dataseo-seo-research/SKILL.md · 93 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 2mo ago First seen · 93 lines · 76 tokens per session scan A 19fddbca2542

Subscribe to this mod's changes

dataseo-seo-research is a skill published in the GitHub repository egebese/dataseo-mcp (193 stars, last pushed 4mo ago), with no licence file. It adds 76 tokens to every session and 750 once invoked, about $0.0003 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 2026-08-30.

Related

dataseo-seo-research compared with skills from other repositories

dataseo-seo-research next to 6 skills from other repositories
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dataseo-seo-researchegebese/dataseo-mcpSkill1934mo agononeA76Claude Code, Codex
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social-pulse-monitoraaron-he-zhu/aaron-marketing-skillsSkill3.1kyesterdayApache-2.0A218Claude Code