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 Infrasity-Labs/dev-gtm-claude-skills --skill seo-serankinggit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/infrasity-labs/dev-gtm-claude-skills/seo-seranking)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/seo-seranking"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/seo-seranking/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/infrasity-labs/dev-gtm-claude-skills/seo-seranking"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/seo-seranking.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 | $0.00064 | $0.00564 |
| Opus 5 | $0.00032 | $0.00282 |
| Sonnet 5 | $0.00013 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade B, and why
seo-seranking scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Before any call, verify `SERANKING_API_KEY` is present in `~/.claude/settings.json` under `env.`. If absent, tell the user to run the installer. This is a copy
97% identical to seo-seranking — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
seo-seranking
Live AI visibility tracking via the SE Ranking REST API.
Prerequisites
- Run
extensions/seranking/install.sh(orinstall.ps1). - An SE Ranking API key (https://seranking.com/api).
- Before any call, verify
SERANKING_API_KEYis present in~/.claude/settings.jsonunderenv.. If absent, tell the user to run the installer.
Routing
| Command | Purpose |
|---|---|
/seo seranking ai-visibility <brand> |
Share-of-voice for brand across ChatGPT, Gemini, Perplexity, AI Overviews, AI Mode |
/seo seranking serp <keyword> |
Top 100 organic positions + SERP features |
/seo seranking backlinks <url> |
Backlink profile (alternative free-tier to Ahrefs / DataForSEO) |
/seo seranking competitors <url> |
Top 10 organic competitors and shared-keyword gaps |
AI Share-of-Voice scoring
SE Ranking samples each AI platform's responses for brand mentions across a configurable prompt set. The scorer is the same logic used by Profound / Peec AI but bundled into one MCP/API. Output fields:
chatgpt_sov: % of sampled prompts where the brand appears in the response.gemini_sov: same, against Google Gemini.perplexity_sov: same, against Perplexity.ai_overviews_sov: brand citation rate inside Google AI Overviews.ai_mode_sov: brand citation rate inside Google AI Mode (US English first).
Report each as a percentage with a confidence note based on sample size.
Cost guardrails
SE Ranking API uses unit accounting. Single AI visibility query is
~5 units (1 per platform). Use scripts/dataforseo_costs.py to log
spend across vendors.
Cross-skill delegation
- For traditional backlinks + content audit, fall back to
seo-backlinks/seo-content. - For platform-specific deep-dives (ChatGPT only, Perplexity only), prefer the dedicated
seo-geoskill which has Brand Mention Correlation guidance.
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.
- 12d ago First seen · 51 lines · 64 tokens per session scan B 8a0a34ff6182
seo-seranking is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 564 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 97% identical to seo-seranking, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
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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.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com — e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.
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.