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 VUVAX/press-rank --skill geo-optimizergit clone --depth 1 https://github.com/VUVAX/press-rankWrote 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/vuvax/press-rank/geo-optimizer)<a href="https://agentmods.dev/skills/vuvax/press-rank/geo-optimizer"><img src="https://agentmods.dev/badge/skills/vuvax/press-rank/geo-optimizer/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/vuvax/press-rank/geo-optimizer"><img src="https://agentmods.dev/badge/skills/vuvax/press-rank/geo-optimizer.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 | $0.00050 | $0.00510 |
| Opus 5 | $0.00025 | $0.00255 |
| Sonnet 5 | $0.00010 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
geo-optimizer 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 9d 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.
What it actually says
GEO Optimizer
Generative Engine Optimization: structure content so AI answer engines quote and
cite it. Scored against references/geo-citability.md.
Quick start
Optimize this article so AI assistants cite it: <draft>
Instructions
-
Answer-first. Each section's first sentence directly answers its header question. AI engines lift the lead sentence — make it self-contained.
-
Quotable units. Write standalone sentences that make sense out of context (no "as mentioned above"). One idea per paragraph.
-
Sourced facts. Pair every statistic with an attribution (
According to <org> (<year>), ...). AI engines prefer citable claims. Never invent sources or numbers. -
Entities. Name concrete products, organizations, people, standards, and places. Entity density helps AI map your page to a topic.
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FAQ block. Add 3–5 real questions with concise, complete answers — prime material for AI extraction and
FAQPageschema. -
Structure signals. Definition boxes, comparison tables, and ordered steps are easy for AI to parse and reuse.
-
Freshness. Surface a visible "last updated" date and current-year stats where relevant.
Output
Edited content plus a short GEO note: what was added and the citability score.
Next best skill
schema-builder (FAQPage / HowTo), then /press:audit.
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.
- 9d ago First seen · 57 lines · 50 tokens per session scan A d6ef4fd15a45
geo-optimizer is a skill published in the GitHub repository VUVAX/press-rank (2 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 510 once invoked, about $0.0003 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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