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 norahe0304-art/30x-seo --skill 30x-seo-keywordsgit clone --depth 1 https://github.com/norahe0304-art/30x-seoWrote 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/norahe0304-art/30x-seo/30x-seo-keywords)<a href="https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-keywords"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-keywords/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/norahe0304-art/30x-seo/30x-seo-keywords"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-keywords.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00077 | $0.01924 |
| Opus 5 | $0.00039 | $0.00962 |
| Sonnet 5 | $0.00015 | $0.00385 |
| Haiku 4.5 | $0.00008 | $0.00192 |
Grade A, and why
30x-seo-keywords scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Comprehensive keyword research and analysis using DataForSEO API via direct curl calls. How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Keywords Analysis
Comprehensive keyword research and analysis using DataForSEO API via direct curl calls.
API Configuration
Credentials stored in ~/.config/dataforseo/auth (Base64 encoded).
# Read auth token
AUTH=$(cat ~/.config/dataforseo/auth)
Quick Reference
| Command | What it does |
|---|---|
/seo keywords research <seed> |
Generate keyword ideas from seed keyword |
/seo keywords volume <keyword1, keyword2, ...> |
Get search volume for keywords |
/seo keywords difficulty <keyword1, keyword2, ...> |
Analyze keyword difficulty scores |
/seo keywords site <domain> |
Find keywords a site ranks for |
/seo keywords gap <your-domain> <competitor> |
Find keyword opportunities |
/seo keywords intent <keyword1, keyword2, ...> |
Analyze search intent |
/seo keywords trending |
Find trending search queries |
/seo keywords history <keyword> |
Historical search volume data |
API Endpoints
Keyword Ideas
curl -s -X POST "https://api.dataforseo.com/v3/dataforseo_labs/google/keyword_ideas/live" \
-H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
-H "Content-Type: application/json" \
-d '[{"keywords": ["SEED_KEYWORD"], "location_name": "United States", "language_code": "en", "limit": 50}]'
Keyword Suggestions (Autocomplete)
curl -s -X POST "https://api.dataforseo.com/v3/dataforseo_labs/google/keyword_suggestions/live" \
-H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
-H "Content-Type: application/json" \
-d '[{"keyword": "SEED_KEYWORD", "location_name": "United States", "language_code": "en", "limit": 50}]'
Related Keywords
curl -s -X POST "https://api.dataforseo.com/v3/dataforseo_labs/google/related_keywords/live" \
-H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
-H "Content-Type: application/json" \
-d '[{"keyword": "SEED_KEYWORD", "location_name": "United States", "language_code": "en", "limit": 50}]'
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.
- 13d ago First seen · 253 lines · 77 tokens per session scan A 84d2d890a5da
30x-seo-keywords is a skill published in the GitHub repository norahe0304-art/30x-seo (51 stars, last pushed 6mo ago), licensed MIT. It adds 77 tokens to every session and 1,924 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
local-falcon
Expert guidance on AI Visibility and Local SEO from Local Falcon, the pioneer of geo-grid rank tracking. Provides deep knowledge on optimizing for AI search platforms (ChatGPT, Gemini, AI Mode, AI Overviews, Grok), local pack rankings, Google Business Profile optimization, and actionable strategies for agencies…
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.