Agent skill

DataForSEO Live SEO Data

by AgriciDaniel in AgriciDaniel/claude-seo

Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.

MITAuto-check passedMarketing & SEO

Install DataForSEO Live SEO Data

skills CLI
$ npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgriciDaniel/claude-seo seo-dataforseo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-dataforseo .claude/skills/seo-dataforseo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-dataforseo
GitHub stars
19k
Token cost
~4.4k tokens
SKILL.md length
1,840 words
Files
4 (incl. references)
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.

  • Works in 4 steps: Search LLM mentions with… → Get top cited domains with… → Get top cited pages with… → …
  • Checking live Google results for a keyword before writing a page
  • SKILL.md covers Prerequisites, API Credit Awareness, Cost Guardrails and Quick Reference, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

This skill connects the agent to DataForSEO through an MCP server that spans nine API modules and more than 79 tools. It covers live Google and YouTube SERPs, keyword volume, difficulty, intent and trends, backlinks, on-page analysis, content and competitor analysis, business listings, domain analytics, AI visibility checks and LLM mention tracking.

DataForSEO bills per call, so the skill runs a cost-estimation script before each request. An approved status proceeds, a needs-approval status shows you the estimate first, and a blocked status stops the call because the daily budget would be exceeded. Actual costs are logged afterward, and slash commands show today's spending, a seven-day summary or let you set an approval threshold. The agent is also told to prefer bulk endpoints and not to re-fetch data it already has.

The extension has to be installed first with the install script in the extensions folder. When the MCP tools are not connected, the skill has the agent say so and give install instructions instead of guessing. Reference files hold the cost tiers and a tool catalog.

When your agent uses it

  • Checking live Google results for a keyword before writing a page
  • Pulling keyword volume and difficulty from real search data
  • Reviewing the backlink profile of a domain or a competitor
  • Testing whether AI assistants mention your brand for a given topic

Example prompts

  • “Run a live SERP check for 'best crm for startups' and summarize who ranks.”
  • “What are the search volume and difficulty for crm pricing, crm comparison and crm free?”
  • “Show me today's DataForSEO spending so far.”
  • “Check the backlink profile of example.com and list its top referring domains.”

Requirements

  • DataForSEO MCP server connected
  • The DataForSEO extension installed with extensions/dataforseo/install.sh
  • DataForSEO API credits, billed per call
  • Compatibility (from SKILL.md): Requires DataForSEO MCP server

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Search LLM mentions with ai_opt_llm_ment_search (find mentions of a brand/keyword across LLM responses)
  2. Get top cited domains with ai_opt_llm_ment_top_domains (which domains are most cited for this topic)
  3. Get top cited pages with ai_opt_llm_ment_top_pages (which specific pages are most cited)
  4. Get aggregate metrics with ai_opt_llm_ment_agg_metrics (overall mention volume, trends)

What it can do on your machine

Read from SKILL.md and the folder at commit 4b99de2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires DataForSEO MCP server

    From compatibility in the SKILL.md frontmatter.

Context cost

DataForSEO Live SEO Data loads about 4.4k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 1,840 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~111
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 1,840 words, ~4,426 tokens.

Download SKILL.mdSave it as .claude/skills/seo-dataforseo/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
seo-dataforseo
description
Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "AI visibility check", or "real search data".
compatibility
Requires DataForSEO MCP server
user-invocable
true
argument-hint
[command] [query]
license
MIT
metadata.author
AgriciDaniel
metadata.version
2.4.2
metadata.category
seo

DataForSEO: Live SEO Data (Extension)

Live search data via the DataForSEO MCP server. Provides real-time SERP results (organic + images), keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking across 9 API modules with 79+ MCP tools.

Prerequisites

This skill requires the DataForSEO extension to be installed:

bash
./extensions/dataforseo/install.sh

Check availability: Before using any DataForSEO tool, verify the MCP server is connected by checking if serp_organic_live_advanced or any DataForSEO tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions.

API Credit Awareness

DataForSEO charges per API call. Be efficient:

  • Prefer bulk endpoints over multiple single calls
  • Use default parameters (US, English) unless user specifies otherwise
  • Cache results mentally within a session; don't re-fetch the same data
  • Warn user before running expensive operations (full backlink crawls, large keyword lists)

Cost Guardrails

Before every DataForSEO MCP call, run cost estimation:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check <endpoint> [--count N]
  • If "status": "approved" → proceed with the API call
  • If "status": "needs_approval" → show the cost estimate to the user and ask for confirmation before proceeding
  • If "status": "blocked" → inform the user that the daily budget limit would be exceeded; do NOT proceed

After each API call completes, log the cost:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py log <endpoint> <actual_cost>

User commands for cost management:

  • /seo dataforseo costs today → show today's spending breakdown
  • /seo dataforseo costs summary → show 7-day spending history
  • /seo dataforseo costs config --mode threshold --threshold 0.50 → configure approval mode

Load references/cost-tiers.md for the full pricing table, budget presets, and cost reduction tips.

Quick Reference

CommandWhat it does
/seo dataforseo serp <keyword>Google organic SERP results
/seo dataforseo serp-images <keyword>Image elements from the organic SERP (the pinned MCP server has no Google Images tool)
/seo dataforseo serp-youtube <keyword>YouTube search results
/seo dataforseo youtube <video_id>YouTube video deep analysis
/seo dataforseo keywords <seed>Keyword ideas and suggestions
/seo dataforseo volume <keywords>Search volume for keywords
/seo dataforseo difficulty <keywords>Keyword difficulty scores
/seo dataforseo intent <keywords>Search intent classification
/seo dataforseo trends <keyword>Google Trends data
/seo dataforseo backlinks <domain>Full backlink profile
/seo dataforseo competitors <domain>Competitor domain analysis
/seo dataforseo ranked <domain>Ranked keywords for domain
/seo dataforseo intersection <domains>Keyword/backlink overlap
/seo dataforseo traffic <domains>Bulk traffic estimation
/seo dataforseo subdomains <domain>Subdomains with ranking data
/seo dataforseo top-searches <domain>Top queries mentioning domain
/seo dataforseo onpage <url>On-page analysis (Lighthouse + parsing)
/seo dataforseo tech <domain>Technology stack detection
/seo dataforseo whois <domain>WHOIS registration data
/seo dataforseo content <keyword/url>Content analysis and trends
/seo dataforseo listings <keyword>Business listings search
/seo dataforseo ai-scrape <query>ChatGPT web scraper for GEO
/seo dataforseo ai-mentions <keyword>LLM mention tracking for GEO

SERP Analysis

/seo dataforseo serp <keyword>

Fetch live Google organic search results.

MCP tools: serp_organic_live_advanced

Default parameters: location_code=2840 (US), language_code=en, device=desktop, depth=100

Also supports: The serp_organic_live_advanced tool supports Google, Bing, and Yahoo via the se parameter. Specify "bing" or "yahoo" to switch search engines.

Output: Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.

/seo dataforseo serp-youtube <keyword>

Fetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.

MCP tools: serp_youtube_organic_live_advanced

Output: Video title, channel, views, upload date, description, URL.

/seo dataforseo youtube <video_id>

Deep analysis of a specific YouTube video: info, comments, and subtitles. Some third-party studies report a 0.737 correlation between YouTube mentions and AI visibility, so treat this as a methodology-dependent GEO signal.

MCP tools: serp_youtube_video_info_live_advanced, serp_youtube_video_comments_live_advanced, serp_youtube_video_subtitles_live_advanced

Parameters: video_id (the YouTube video ID, e.g., "dQw4w9WgXcQ")

Output: Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle/transcript text.

/seo dataforseo serp-images <keyword>

Report the image elements Google shows in the organic results for a keyword (the pinned MCP server has no Google Images tool, so this is not a full Images SERP). See which images appear, which domains dominate them, and identify visual content opportunities.

MCP tools: none. The pinned dataforseo-mcp-server@2.8.10 exposes no Google Images SERP tool (checked against the package, 2026-09-23). Say image SERP data is unavailable through the MCP and never call a tool by that name; an images element in serp_organic_live_advanced results, when present, is the closest substitute.

Default parameters: location_code=2840 (US), language_code=en, device=desktop, depth=100

Parameters: keyword (required), depth (optional, max 700, billed per 100-result increment), search_param (optional, e.g. "site:example.com")

Cost warning: Using site: or filetype: operators incurs 5x API cost. Warn user before running filtered queries.

Output: Position, title, alt text, source page URL, direct image URL, domain, encoded URL.

Analysis to provide:

  • Domain dominance: which sites own the most image positions (top 10 domains by count)
  • Alt text patterns: common title/alt text patterns in top-ranking images
  • Format distribution: WebP vs JPEG vs PNG in top results (infer from image_url extension)
  • Opportunity identification: keywords where user has organic rankings but no image presence

Keyword Research

/seo dataforseo keywords <seed>

Generate keyword ideas, suggestions, and related terms from a seed keyword.

MCP tools: dataforseo_labs_google_keyword_ideas, dataforseo_labs_google_keyword_suggestions, dataforseo_labs_google_related_keywords

Default parameters: location_code=2840 (US), language_code=en, limit=50

Output: Keyword, search volume, CPC, competition level, keyword difficulty, trend.

/seo dataforseo volume <keywords>

Get search volume and metrics for a list of keywords.

MCP tools: kw_data_google_ads_search_volume

Parameters: keywords (array, comma-separated), location_code, language_code

Output: Keyword, monthly search volume, CPC, competition, monthly trend data.

/seo dataforseo difficulty <keywords>

Calculate keyword difficulty scores for ranking competitiveness.

MCP tools: dataforseo_labs_bulk_keyword_difficulty

Parameters: keywords (array), location_code, language_code

Output: Keyword, difficulty score (0-100), interpretation (Easy/Medium/Hard/Very Hard).

/seo dataforseo intent <keywords>

Classify keywords by user search intent.

MCP tools: dataforseo_labs_search_intent

Parameters: keywords (array), location_code, language_code

Output: Keyword, intent type (informational, navigational, commercial, transactional), confidence score.

Analyze keyword trends over time using Google Trends data.

MCP tools: kw_data_google_trends_explore

Parameters: keywords (array), location_code, date_from, date_to, language_code

Output: Keyword, time series data, trend direction, seasonality signals.


Domain & Competitor Analysis

Comprehensive backlink profile analysis.

MCP tools: backlinks_summary, backlinks_backlinks, backlinks_anchors, backlinks_referring_domains, backlinks_bulk_spam_score, backlinks_timeseries_summary

Default parameters: limit=100 per sub-call

Output: Total backlinks, referring domains, domain rank, spam score, top anchors, new/lost backlinks over time, dofollow ratio, top referring domains.

/seo dataforseo competitors <domain>

Identify competing domains and estimate traffic.

MCP tools: dataforseo_labs_google_competitors_domain, dataforseo_labs_google_domain_rank_overview, dataforseo_labs_bulk_traffic_estimation

Output: Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.

/seo dataforseo ranked <domain>

List keywords a domain ranks for with positions and page data.

MCP tools: dataforseo_labs_google_ranked_keywords, dataforseo_labs_google_relevant_pages

Default parameters: limit=100, location_code=2840

Output: Keyword, position, URL, search volume, traffic share, SERP features.

/seo dataforseo intersection <domain1> <domain2> [...]

Find shared keywords and backlink sources across 2-20 domains.

MCP tools: dataforseo_labs_google_domain_intersection, backlinks_domain_intersection

Parameters: domains (2-20 array)

Output: Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.

/seo dataforseo traffic <domains>

Estimate organic search traffic for one or more domains.

MCP tools: dataforseo_labs_bulk_traffic_estimation

Parameters: domains (array)

Output: Domain, estimated organic traffic, estimated traffic cost, top keywords.

Show full SKILL.md (725 more words)Show less
/seo dataforseo subdomains <domain>

Enumerate subdomains with their ranking data and traffic estimates.

MCP tools: dataforseo_labs_google_subdomains

Parameters: target (domain), location_code, language_code

Output: Subdomain, ranked keywords count, estimated traffic, organic cost.

/seo dataforseo top-searches <domain>

Find the most popular search queries that mention a specific domain in results.

MCP tools: dataforseo_labs_google_top_searches

Parameters: target (domain), location_code, language_code

Output: Query, search volume, domain position, SERP features, traffic share.


Technical / On-Page

/seo dataforseo onpage <url>

Run on-page analysis including Lighthouse audit and content parsing.

MCP tools: on_page_instant_pages, on_page_content_parsing, on_page_lighthouse

Usage:

  • on_page_instant_pages:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)
  • on_page_content_parsing:Extract and parse page content (plain text, word count, structure)
  • on_page_lighthouse:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)

Output: Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.

/seo dataforseo tech <domain>

Detect technologies used on a domain.

MCP tools: domain_analytics_technologies_domain_technologies

Output: Technology name, version, category (CMS, analytics, CDN, framework, etc.).

/seo dataforseo whois <domain>

Retrieve WHOIS registration data.

MCP tools: domain_analytics_whois_overview

Output: Registrar, creation date, expiration date, nameservers, registrant info (if public).


Content & Business Data

/seo dataforseo content <keyword/url>

Analyze content quality, search for content by topic, and track phrase trends.

MCP tools: content_analysis_search, content_analysis_summary, content_analysis_phrase_trends

Parameters: keyword (for search/trends) or URL (for summary)

Output: Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.

/seo dataforseo listings <keyword>

Search business listings for local SEO competitive analysis.

MCP tools: business_data_business_listings_search

Parameters: keyword, location (optional)

Output: Business name, description, category, address, phone, domain, rating, review count, claimed status.


AI Visibility / GEO

/seo dataforseo ai-scrape <query>

Scrape what ChatGPT web search returns for a query. ChatGPT visibility check: see which sources ChatGPT cites for your target keywords. Check Google AI Overviews and AI Mode with GSC gen-AI reports when available.

MCP tools: ai_optimization_chat_gpt_scraper

Parameters: query, location_code (optional), language_code (optional). Use ai_optimization_chat_gpt_scraper_locations to look up available locations.

Output: ChatGPT response content, cited sources/URLs, referenced domains.

/seo dataforseo ai-mentions <keyword>

Track how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.

MCP tools: ai_opt_llm_ment_search, ai_opt_llm_ment_top_domains, ai_opt_llm_ment_top_pages, ai_opt_llm_ment_agg_metrics

Parameters: keyword, location_code (optional), language_code (optional). Use ai_opt_llm_ment_loc_and_lang for available locations/languages and ai_optimization_llm_models for supported LLM models.

Workflow:

  1. Search LLM mentions with ai_opt_llm_ment_search (find mentions of a brand/keyword across LLM responses)
  2. Get top cited domains with ai_opt_llm_ment_top_domains (which domains are most cited for this topic)
  3. Get top cited pages with ai_opt_llm_ment_top_pages (which specific pages are most cited)
  4. Get aggregate metrics with ai_opt_llm_ment_agg_metrics (overall mention volume, trends)

Output: LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.

Advanced: Use ai_opt_llm_ment_cross_agg_metrics for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).


Available Utility Tools

Additional DataForSEO MCP tools are available for internal use but do not have dedicated commands. Load references/tool-catalog.md when you need to find a specific utility tool (location lookups, bulk operations, historical data, filter options).

Cross-Skill Integration

When DataForSEO MCP tools are available, other claude-seo skills can leverage live data:

  • seo-audit:Spawn seo-dataforseo agent for real SERP, backlink, on-page, and listings data
  • seo-technical:Use on_page_instant_pages / on_page_lighthouse for real crawl data, domain_analytics_technologies_domain_technologies for stack detection
  • seo-content:Use kw_data_google_ads_search_volume, dataforseo_labs_bulk_keyword_difficulty, dataforseo_labs_search_intent for real keyword metrics, content_analysis_summary for content quality
  • seo-page:Use serp_organic_live_advanced for real SERP positions, backlinks_summary for link data
  • seo-images:No Google Images SERP tool on the pinned MCP server; use any images element from serp_organic_live_advanced, cross-referenced with the on-page image audit
  • seo-geo:Use ai_optimization_chat_gpt_scraper for real ChatGPT visibility, ai_opt_llm_ment_search for LLM mention tracking
  • seo-plan:Use dataforseo_labs_google_competitors_domain, dataforseo_labs_google_domain_intersection, dataforseo_labs_bulk_traffic_estimation for real competitive intelligence

Error Handling

  • MCP server not connected: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running ./extensions/dataforseo/install.sh
  • API authentication failed: Report invalid credentials. Suggest checking DataForSEO API login/password in MCP config
  • Rate limit exceeded: Report the limit hit and suggest waiting before retrying
  • No results returned: Report "no data found" for the query rather than guessing. Suggest broadening the query or checking location/language codes
  • Invalid location code: Report the error and suggest using the locations lookup tool to find the correct code

Output Formatting

Match existing claude-seo output patterns:

  • Use tables for comparative data
  • Prioritize issues as Critical > High > Medium > Low
  • Include specific, actionable recommendations
  • Show scores as XX/100 where applicable
  • Note data source as "DataForSEO (live)" to distinguish from static analysis

© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/seo-dataforseo of AgriciDaniel/claude-seo.

  • SKILL.md
  • LICENSE.txt
  • references/cost-tiers.md
  • references/tool-catalog.md

Open the folder on GitHubat commit 4b99de2

Compare with similar skills

DataForSEO Live SEO Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

DataForSEO Live SEO Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
DataForSEO Live SEO Data this skillAgriciDaniel/claude-seo19k—~4.4kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7972 repos~4.6kAutomated safety check: PassMIT
SEO Dataforseohashgraph-online/awesome-codex-plugins1.3k—~4.5kAutomated safety check: NotesMIT
SEO Dataforseosickn33/agentic-awesome-skills47k2 repos~4.4kAutomated safety check: NotesMIT
SEO APIseranking/seo-skills160—~4.1kAutomated safety check: PassMIT
Localseodata Toolgarrettjsmith/localseoskills120—~4.1kAutomated safety check: PassMIT

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Categories

Questions about DataForSEO Live SEO Data

What does DataForSEO Live SEO Data do?

Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call. This skill connects the agent to DataForSEO through an MCP server that spans nine API modules and more than 79 tools. It covers live Google and YouTube SERPs, keyword volume, difficulty, intent and trends, backlinks, on-page analysis, content and competitor analysis, business listings, domain analytics, AI visibility checks and LLM mention tracking.

When should I use DataForSEO Live SEO Data?

DataForSEO Live SEO Data fits situations like: checking live Google results for a keyword before writing a page; pulling keyword volume and difficulty from real search data; reviewing the backlink profile of a domain or a competitor; testing whether AI assistants mention your brand for a given topic.

How do I install DataForSEO Live SEO Data in Claude Code?

Run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a claude-code`. Or copy the skill folder (skills/seo-dataforseo in AgriciDaniel/claude-seo) into .claude/skills/seo-dataforseo in your project. Claude Code loads it when a task matches its description.

How do I install DataForSEO Live SEO Data in Codex?

Run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a codex`. Or copy the skill folder (skills/seo-dataforseo in AgriciDaniel/claude-seo) into .agents/skills/seo-dataforseo in your project. Codex loads it when a task matches its description.

Can I use DataForSEO Live SEO Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-seo --skill seo-dataforseo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-dataforseo, .gemini/skills/seo-dataforseo, .github/skills/seo-dataforseo and .opencode/skills/seo-dataforseo in your project.

What does DataForSEO Live SEO Data need to run?

SKILL.md names no scripts, command-line tools or credentials: DataForSEO Live SEO Data is instructions for the agent only. Our summary lists: DataForSEO MCP server connected; The DataForSEO extension installed with extensions/dataforseo/install.sh; DataForSEO API credits, billed per call. Compatibility (from SKILL.md): Requires DataForSEO MCP server.

Does DataForSEO Live SEO Data access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is DataForSEO Live SEO Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does DataForSEO Live SEO Data use?

DataForSEO Live SEO Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does DataForSEO Live SEO Data use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to DataForSEO Live SEO Data?

Skills that share tags, products or a category with DataForSEO Live SEO Data: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars), SEO Dataforseo (sickn33/agentic-awesome-skills, 47k stars) and SEO API (seranking/seo-skills, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains DataForSEO Live SEO Data?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,574 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.

Source: AgriciDaniel/claude-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.