New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

SEO Dataforseo

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.

MITAuto-check: notesMarketing & SEO

Install SEO Dataforseo

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill seo-dataforseo -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins 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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/avalonreset/seo-dungeon/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
1.3k
Token cost
~4.5k tokens
SKILL.md length
1,837 words
Files
4 (incl. references)
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.

  • Works in 4 steps: Search LLM mentions with… → Get top cited domains with… → Get top cited pages with… → …
  • User says dataforseo
  • SKILL.md covers Prerequisites, API Credit Awareness, Cost Guardrails and Quick Reference, plus 5 more sections
  • Needs DATAFORSEO_PASSWORD

What it does

SEO Dataforseo is an agent skill from hashgraph-online/awesome-codex-plugins. Live SEO data via DataForSEO API credentials. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Uses DataForSEO credentials from the selected project .env; MCP tools are optional adapters when already available. Use when user says "dataforseo", "live…

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/cost-tiers.md` and `references/tool-catalog.md`). Compatibility notes: Uses DATAFORSEOUSERNAME or DATAFORSEOLOGIN plus DATAFORSEOPASSWORD from project .env; MCP optional

It sits in Marketing & SEO, covering Keyword research, Link building and AI search optimization. It works with YouTube, OpenAI and Model Context Protocol. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • User says dataforseo
  • Competitor data
  • AI visibility check
  • Real search data

Example prompts

  • “dataforseo”
  • “live SERP”
  • “keyword volume”
  • “/seo-dataforseo”

Requirements

  • Compatibility (from SKILL.md): Uses DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD from project .env; MCP optional

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 9e7b281. 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 these keys or tokens, usually read from environment variables:

    • DATAFORSEO_PASSWORD

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

  • Compatibility

    Uses DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD from project .env; MCP optional

    From compatibility in the SKILL.md frontmatter.

Context cost

SEO Dataforseo loads about 4.5k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 177 tokens; SKILL.md has 1,837 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~177
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:8
    O credentials from the selected project `.env`; MCP tools are optional adapters when already available. Use when user sa
  • NoteMentions a .env fileSKILL.md:14
    IN plus DATAFORSEO_PASSWORD from project .env; MCP optional"
  • NoteMentions a .env fileSKILL.md:30
    Set credentials in the selected project `.env`:
  • NoteMentions a .env fileSKILL.md:392
    ORSEO_PASSWORD` to the selected project `.env`. Do not block on MCP setup.
  • NoteMentions a .env fileSKILL.md:393
    login/password in the selected project `.env`.

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 hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 1,837 words, ~4,548 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 API credentials. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Uses DataForSEO credentials from the selected project `.env`; MCP tools are optional adapters when already available. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".
compatibility
Uses DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD from project .env; MCP optional
user-invocable
true
argument-hint
[command] [query]
license
MIT
metadata.author
AgriciDaniel
metadata.version
2.2.5
metadata.category
seo

DataForSEO: Live SEO Data (Extension)

Live search data via DataForSEO API credentials. 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. MCP tools may be used when already configured, but are not required.

Prerequisites

Set credentials in the selected project .env:

bash
DATAFORSEO_USERNAME=your-login
DATAFORSEO_PASSWORD=your-password

DATAFORSEO_LOGIN is also accepted as an alias for DATAFORSEO_USERNAME. The extension installer and MCP server are optional for users who already prefer MCP.

Check availability: First check for DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD in the selected project environment. Use claude-seo run dataforseo_api.py ... or specialized scripts for direct API calls. If an optional DataForSEO adapter is already available, you may use it quietly, but do not require MCP setup or spend context inventorying MCP servers unless the user asks.

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 API call, run cost estimation:

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-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>Google Images SERP results
/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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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>

Fetch live Google Images search results. See which images rank for a keyword, which domains dominate image results, and identify visual content opportunities.

Direct API operation: serp_google_images_live_advanced

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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: dataforseo_labs_bulk_traffic_estimation

Parameters: domains (array)

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

Show full SKILL.md (739 more words)Show less
/seo dataforseo subdomains <domain>

Enumerate subdomains with their ranking data and traffic estimates.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: domain_analytics_technologies_domain_technologies

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

/seo dataforseo whois <domain>

Retrieve WHOIS registration data.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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.

Direct API operation: 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 API operations 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 credentials are available, other SEO Dungeon skills can leverage live data. Optional MCP tools can be used when already configured:

  • 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:Use serp_google_images_live_advanced for competitor image SERP data, cross-reference with 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

  • Credentials not found: Ask the user to add DATAFORSEO_USERNAME or DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD to the selected project .env. Do not block on MCP setup.
  • API authentication failed: Report invalid credentials. Suggest checking DataForSEO login/password in the selected project .env.
  • 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

© hashgraph-online, 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 plugins/avalonreset/seo-dungeon/skills/seo-dataforseo of hashgraph-online/awesome-codex-plugins.

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

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

SEO Dataforseo 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.

SEO Dataforseo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Dataforseo this skillhashgraph-online/awesome-codex-plugins1.3k—~4.5kAutomated safety check: NotesMIT
SEO DataforseoAgriciDaniel/codex-seo7972 repos~4.6kAutomated safety check: PassMIT
DataForSEO Live SEO DataAgriciDaniel/claude-seo19k—~4.4kAutomated safety check: PassMIT
SEO APIseranking/seo-skills160—~4.1kAutomated safety check: PassMIT
SEO Dataforseosickn33/agentic-awesome-skills47k2 repos~4.4kAutomated safety check: NotesMIT
SEONexus-JPF/note-companion870—~2.2kAutomated safety check: PassMIT

Similar skills

  • SEO Dataforseo

    AgriciDaniel/codex-seo

    Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.

    797 GitHub starsUsed in 2 repos~4.6k tokens
    Marketing & SEOAuto-check passed

  • DataForSEO Live SEO Data

    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.

    19k GitHub stars~4.4k tokensUpdated 4 days ago
    Marketing & SEOAuto-check passed

  • SEO API

    seranking/seo-skills

    SE Ranking API integration architect. An agent skill from seranking/seo-skills.

    160 GitHub stars~4.1k tokensUpdated 3 mo ago
    Marketing & SEOAuto-check passed

  • SEO Dataforseo

    sickn33/agentic-awesome-skills

    Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data.

    47k GitHub starsUsed in 2 repos~4.4k tokens
    Marketing & SEOAuto-check: notes

  • SEO

    Nexus-JPF/note-companion

    Use and read this skill immediately if the user request is in any way related to SEO or a site's organic search or AI search presence.

    870 GitHub stars~2.2k tokensUpdated 2 days ago
    Marketing & SEOAuto-check passed

  • Sellersprite Amazon Research

    liangdabiao/amazon-sorftime-research-MCP-skill

    卖家精灵 Amazon 全链路数据调研 Skill。通过 43 个 MCP 数据工具完成选品分析、关键词研究、竞品监控、市场分析、定价策略、评论分析、广告优化、流量分析、Listing 优化和蓝海机会挖掘。触发场景：(1) 用户询问 Amazon 选品/市场/竞品分析 (2) 用户输入 /product-research, /market-analysis…

    953 GitHub stars~4.3k tokensUpdated today
    Marketing & SEOAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 714 skills in this repo

  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.3k GitHub stars~922 tokensUpdated today
    Auto-check passed

  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.3k GitHub stars~1k tokensUpdated today
    Auto-check passed

  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.3k GitHub stars~1.7k tokensUpdated today
    Auto-check passed

  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.3k GitHub stars~2.4k tokensUpdated today
    Auto-check passed

  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.3k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.3k GitHub stars~618 tokensUpdated today
    Auto-check passed

Works with

Categories

Questions about SEO Dataforseo

What does SEO Dataforseo do?

Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins. SEO Dataforseo is an agent skill from hashgraph-online/awesome-codex-plugins. Live SEO data via DataForSEO API credentials.

When should I use SEO Dataforseo?

SEO Dataforseo fits situations like: user says dataforseo; competitor data; AI visibility check; real search data.

How do I install SEO Dataforseo in Claude Code?

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

How do I install SEO Dataforseo in Codex?

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

Can I use SEO Dataforseo 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 hashgraph-online/awesome-codex-plugins --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 SEO Dataforseo need to run?

Going by SKILL.md and its folder, SEO Dataforseo needs credentials named DATAFORSEO_PASSWORD. Compatibility (from SKILL.md): Uses DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD from project .env; MCP optional.

Does SEO Dataforseo 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 SEO Dataforseo safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does SEO Dataforseo use?

SEO Dataforseo 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 SEO Dataforseo use?

About 4.5k 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 1.5k tokens, read only when the agent opens those files.

What are the alternatives to SEO Dataforseo?

Skills that share tags, products or a category with SEO Dataforseo: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars), SEO API (seranking/seo-skills, 160 stars) and SEO Dataforseo (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Dataforseo?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.