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 bemoshiur/OmniRank --skill geo-artifactsgit clone --depth 1 https://github.com/bemoshiur/OmniRankWrote 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/bemoshiur/omnirank/geo-artifacts)<a href="https://agentmods.dev/skills/bemoshiur/omnirank/geo-artifacts"><img src="https://agentmods.dev/badge/skills/bemoshiur/omnirank/geo-artifacts/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/bemoshiur/omnirank/geo-artifacts"><img src="https://agentmods.dev/badge/skills/bemoshiur/omnirank/geo-artifacts.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 | $0.00054 | $0.01080 |
| Opus 5.5 | $0.00022 | $0.00432 |
| Sonnet 5.5 | $0.00011 | $0.00216 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade C, and why
geo-artifacts 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 1mo 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
5. **Never infer a content licence — but never refuse to generate either.** `geo.license` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sI https://<site>/llms.txt | head -1 How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO artifacts
Generate the three files that let generative engines ingest a site as ground truth:
llms.txt (curated index), llms-full.txt (full corpus), and facts.json (structured
facts). Each carries an explicit citation licence.
When to use
"Make us citable by AI", "generate llms.txt", "why doesn't Perplexity know about us", "update facts.json after publishing".
When NOT to use
- Diagnosing whether the files are already served correctly — that is
audit. - Page-level JSON-LD or AnswerBlocks — that is
aeo-onpage(planned, not in v0.1.0). - Submitting URLs to search engines — that is
indexing(planned, not in v0.1.0).
Generation only writes the three artifacts. It never verifies they are actually served
in production — that is audit, and the "After generating" section below.
Which path to take
Node, when the site's content lives in this repo. It consumes an already-materialized
Page[] ({ url, title, description, answer }) that your own prebuild script gathers —
e.g. from getPages(): Promise<Page[]> reading your CMS or database directly — so it sees
draft flags, DB rows, and unpublished states a crawler cannot.
Python, for any other stack or an external site. It reconstructs the corpus itself by crawling the sitemap and the rendered HTML.
# Python / crawl path
python3 -m omnirank.cli geo --config omnirank.config.json --out public
# flags: url (optional, omit when using --config), --config PATH, --out DIR (default: public)
# Node / in-repo path — call generate(config, pages, outDir) from the site's own
# prebuild script, after gathering pages with your own getPages()
Both paths share the same field logic (licence block, sameAs null-dropping, the
published gate on statistics) and were verified to emit byte-identical output for
identical input, aside from generatedAt timestamp precision (Python emits
microseconds, Node emits milliseconds — both valid RFC 3339 UTC).
Rules
- These are physical files. Write them into
publicDirat build time. Never serve them from a dynamic route — seereferences/serving-gotchas.mdfor the 403 this causes. - Wire generation into
prebuildAND the deploy script. OpenNext runsnext build, notnpm run build, so aprebuildhook alone silently does nothing in production. - Never invent a statistic.
facts.statisticscarries only entries explicitly markedpublished: true. No published entries means the key is omitted entirely, not emitted empty. - Null
sameAsvalues are dropped, not emitted as null. A null is an entity gap to fill, andoffsite-entity(planned, not in v0.1.0) reports on it. - Never infer a content licence — but never refuse to generate either.
geo.licensehas no default. These files are written intopublicDirand published on the open web, so the licence text inside them is a real, standing grant of reuse rights over the site owner's content — not a suggestion OmniRank can guess. Ifgeo.licenseis unset, generation treats it exactly like the explicit"none"opt-out: it proceeds and grants nothing, and (Python CLI only)omnirank geoprints a one-line notice to stderr naming the config key, so the "no rights" default isn't chosen silently. Setgeo.licenseto a licence you have actually chosen (e.g."CC-BY-4.0") to grant reuse rights, or to the explicit opt-out"none"(or JSONnull) for sites that grant no reuse rights at all and to silence the notice — the citation block states plainly that no licence is granted instead of inventing one.
What ships with it
2 files 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.
- 1mo ago First seen · 86 lines · 54 tokens per session scan C 53ccc0801e2e
geo-artifacts is a skill published in the GitHub repository bemoshiur/OmniRank (10 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,080 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (tells the agent never to refuse, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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web-optimization
Audit or generate web content optimized for traditional search (SEO), AI generative answer engines like ChatGPT/Perplexity/Google AI Overviews (GEO), and answer engines / featured snippets / voice (AEO). Use when the user asks to improve a page's ranking or AI-citability, run an SEO/GEO/AEO audit of a URL or file, add…
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