geo

geo is a skill for Codex from krillinai/growth-skills. It costs 52 tokens per session (2,061 once invoked), scanned A, original, MIT.

A GEO auditing guide for checking whether public web content can be found, read, and represented accurately in AI-generated search answers. GEO means improving a site's readiness for generative-engine answers, rather than traditional search rankings.

In plain words
What is it for?
Use it to examine a page, a representative site sample, a fixed set of repeated queries, or a specific citation or mention issue across named markets, languages, and platforms.
Why use it?
It separates technical page readiness from observed AI mentions, citations, and competitor comparisons. This helps avoid treating limited observations as proof of rankings, traffic, or future visibility.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to examine a page, a representative site sample, a fixed set of repeated queries, or a specific citation or mention issue across named markets, languages, and platforms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/krillinai/growth-skills/geo
Install

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.

Any agent
npx skills add krillinai/growth-skills --skill geo
Clone the repo
git clone --depth 1 https://github.com/krillinai/growth-skills

Made for: Codex.

Wrote 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.

agentmods badge for geo

README.md
[![agentmods](https://agentmods.dev/badge/skills/krillinai/growth-skills/geo/github.svg)](https://agentmods.dev/skills/krillinai/growth-skills/geo)
Your own site
<a href="https://agentmods.dev/skills/krillinai/growth-skills/geo"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/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.

agentmods 80×15 button for geo

Your own site · 80×15
<a href="https://agentmods.dev/skills/krillinai/growth-skills/geo"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.02061
Opus 5.5 $0.00021 $0.00824
Sonnet 5.5 $0.00010 $0.00412
Haiku 4.5 $0.00005 $0.00206

Measured 2mo ago against content hash 3682a4a15fd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

geo 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 2mo 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.

skills/geo/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEO Audit

Reuse Growth Context

At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.

Diagnose what the supplied evidence supports. Keep website readiness, observed AI answers, reported signals, and proposed actions separate; never promise a citation, rank, traffic result, or uplift.

Route The Request

Choose one primary mode and the smallest sufficient boundary:

Mode Use for Boundary
visibility Mentions, owned citations, third-party citations, and answer variation A declared query panel with repeated, condition-matched observations
page Access, rendering, extraction, claims, entity facts, and citation readiness for one URL The named page and representations
site Shared controls or patterns across a property A frozen, representative URL sample from a dated inventory
incident A reported change in mentions, citations, or attributable traffic Dated before/after evidence under matched conditions
out-of-scope Traditional SEO or implementation-only work Route to the appropriate audit or implementation capability

Add competitive only after every field in the single canonical comparison match key from visibility-observation.md is present and matched. Use that identical key for incident comparisons. Add focused to constrain any primary mode to one surface, such as robots, raw/rendered parity, claim provenance, entity consistency, third-party sources, an optional discovery artifact, or one query cluster. HTML is an output format, not a mode.

Route organic rankings, backlinks, and conventional search-performance analysis to seo-audit. Route content rewrites, Schema changes, rendering changes, robots edits, publication, and deployment to implementation work; require fresh post-change evidence for verification.

Read the full file on GitHub · 98 lines

Changes

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.

  1. 2mo ago First seen · 98 lines · 52 tokens per session scan A 3682a4a15fd4

Subscribe to this mod's changes

geo is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 2,061 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

geo compared with skills from other repositories

geo next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
geokrillinai/growth-skillsSkill432mo agoMITA52Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code