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 prashishh/seo-geo-report-engine --skill seo-data-routergit clone --depth 1 https://github.com/prashishh/seo-geo-report-engineWrote 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/prashishh/seo-geo-report-engine/seo-data-router)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/seo-data-router"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/seo-data-router/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/prashishh/seo-geo-report-engine/seo-data-router"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/seo-data-router.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 | $0.00089 | $0.00993 |
| Opus 5 | $0.00044 | $0.00496 |
| Sonnet 5 | $0.00018 | $0.00199 |
| Haiku 4.5 | $0.00009 | $0.00099 |
Grade A, and why
seo-data-router 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-data-router
Route SEO/GEO work to the cheapest source in our stack that can answer the question with enough
confidence. The stack is committed (see knowledge/seo-geo-tooling-landscape.md).
Reference
Read knowledge/seo-geo-tooling-landscape.md before making source recommendations or connector plans.
It is the source of truth for the stack, the source-of-truth-per-metric map, and cross-check rules.
Routing Rules
- Prefer owned truth first (free, most credible):
- Google Search Console for queries, pages, clicks, impressions, CTR, and average position.
- GA4 for conversions, events, organic landing-page behavior, and attribution.
- PageSpeed Insights / CrUX for page experience (real-user Core Web Vitals).
- DataForSEO is the default data backbone (pay-as-you-go): live SERP + AI Overview, keyword volume/KD/intent/ideas, ranked keywords, keyword + link gap, backlinks, OnPage, domain + traffic intelligence, reviews/GBP/mentions, and direct LLM querying (ChatGPT/Gemini/Perplexity/Claude).
- Ahrefs is the trusted cross-check (while held): the recognized DR/KD number for the deliverable, deep backlink authority, and Brand Radar for aggregated cross-engine AI SoV. When DataForSEO and Ahrefs disagree on volume/KD/backlinks, apply the cross-check rules in the landscape doc (the disagreement is the signal; reach for GSC/manual SERP as the third anchor).
- Screaming Frog for deep technical crawl (local): JS render diff, custom extraction, forensic audits, and its Log File Analyser for AI-bot crawl evidence — the one thing the APIs cannot give.
- AI visibility uses our own engine, not a bought suite:
llm-visibility(DataForSEO multi-engine scan → SoV) + theweb-researchOpenRouter probe. Ahrefs Brand Radar only as a per-engagement pass-through when a client funds cross-engine SoV reporting.
Do NOT route to providers outside this stack (SE Ranking, Semrush, Serpstat, AccuRanker, Botify, Profound/Otterly/Scrunch/Peec) — they were evaluated and rejected; adding one needs a new, explicit reason.
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 · 92 lines · 89 tokens per session scan A d11055171ae6
seo-data-router is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 993 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
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