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 san-npm/skills-ws --skill seo-geogit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/seo-geo)<a href="https://agentmods.dev/skills/san-npm/skills-ws/seo-geo"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/seo-geo/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/san-npm/skills-ws/seo-geo"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/seo-geo.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 | $0.00106 | $0.04659 |
| Opus 5 | $0.00053 | $0.02329 |
| Sonnet 5 | $0.00021 | $0.00932 |
| Haiku 4.5 | $0.00011 | $0.00466 |
Grade C, and why
seo-geo scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -sL "$URL" | python3 - <<'PY' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "$URL" | grep -Eio '<title>[^<]*</title>|<meta name="description"[^>]*>|<link rel="canonical"[^>]*>|application/ld\+json' How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO & GEO Optimization v3 (2026)
GEO = Generative Engine Optimization — get cited by AI engines, not just ranked. Each engine has a different stance; optimize for the union, not a single playbook.
What the engines actually say (2026)
| Engine | Source of truth | Position summary |
|---|---|---|
| Google AI Overviews / AI Mode | developers.google.com/search/docs/fundamentals/ai-optimization-guide (and …/docs/appearance/ai-features) |
Built into the same index as Search; AI features draw from it via RAG + query fan-out. Standard SEO applies. Structured data not required. Explicitly says you don't need llms.txt, AI-specific markup, content "chunking," or "AI rewrites." |
| Bing Copilot | Bing Webmaster blog + updated webmaster guidelines (verify at blogs.bing.com/webmaster) |
Formally names GEO. Wants clear facts, consistent entities, one topic per URL, key info near top, IndexNow for freshness, valid schema. New abuse policies on prompt injection and "artificially engineered language." Schema is helpful but not a guaranteed ranking lever — treat citation-rate gains as observational, not promised. |
| ChatGPT Search | developers.openai.com/api/docs/bots + Publishers FAQ (help.openai.com) |
"Sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers." Standard SEO + crawler access. Citation favors structural clarity and named-entity density. |
| Claude | support.claude.com/en/articles/8896518 |
Three crawlers: ClaudeBot (training), Claude-User (user-directed fetch), Claude-SearchBot (search grounding). All three honor robots.txt. No public ranking guidance — quality + accessibility are the levers. |
Workflow
1. Technical SEO audit
URL="https://example.com" # page under audit
ORIGIN="https://example.com" # site root
# Head tags + JSON-LD presence
curl -sL "$URL" | grep -Eio '<title>[^<]*</title>|<meta name="description"[^>]*>|<link rel="canonical"[^>]*>|application/ld\+json'
# robots.txt + sitemap reachability (expect 200)
curl -s -o /dev/null -w '%{http_code} robots.txt\n' "$ORIGIN/robots.txt"
curl -s -o /dev/null -w '%{http_code} sitemap.xml\n' "$ORIGIN/sitemap.xml"
curl -s "$ORIGIN/robots.txt"
# List every <loc> in the sitemap (handles sitemap-index too)
curl -s "$ORIGIN/sitemap.xml" | grep -Eo '<loc>[^<]+</loc>' | sed -E 's/<\/?loc>//g'
# Indexability signals: status, x-robots-tag header, meta robots
curl -sIL "$URL" | grep -iE 'HTTP/|x-robots-tag'
curl -sL "$URL" | grep -Eio '<meta name="robots"[^>]*>'
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 282 lines · 106 tokens per session scan C 3a9e09b384bc
seo-geo is a skill published in the GitHub repository san-npm/skills-ws (2 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 4,659 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.
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