geo-llmstxt

geo-llmstxt is a skill for Claude Code, Codex from bytefer/geo-seo-codex. It costs 46 tokens per session (3,666 once invoked), scanned A, a copy of geo-llmstxt, MIT.

A tool for checking or creating an llms.txt file, a proposed website file that summarises the site's purpose, structure, and most useful pages for AI systems.

In plain words
What is it for?
Use it to crawl a site, validate an existing llms.txt file, or generate one from scratch.
Why use it?
It gives AI systems direct guidance about a website instead of making them infer everything by crawling many pages.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to crawl a site, validate an existing llms.txt file, or generate one from scratch.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytefer/geo-seo-codex/geo-llmstxt
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 bytefer/geo-seo-codex --skill geo-llmstxt
Clone the repo
git clone --depth 1 https://github.com/bytefer/geo-seo-codex

Made for: Claude Code, 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-llmstxt

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytefer/geo-seo-codex/geo-llmstxt"><img src="https://agentmods.dev/badge/skills/bytefer/geo-seo-codex/geo-llmstxt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,666 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.
Origin 98% copy Near-identical to another mod 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 $0.00046 $0.03666
Opus 5 $0.00023 $0.01833
Sonnet 5 $0.00009 $0.00733
Haiku 4.5 $0.00005 $0.00367

Measured 9d ago against content hash 783fa8d61fb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

geo-llmstxt 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.

Origin

This is a copy

98% identical to geo-llmstxt — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/geo-llmstxt/SKILL.md · 426 lines

How it starts

The opening of the file, as written. The whole thing — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.

llms.txt Standard Analysis and Generation Skill

Purpose

This skill handles everything related to the llms.txt standard -- an emerging convention (proposed by Jeremy Howard in September 2024, gaining adoption through 2025-2026) that allows websites to provide structured guidance to AI systems about their content, structure, and key information. It is analogous to robots.txt (which tells crawlers what NOT to access) but instead tells AI systems what IS most useful to understand about the site.

Why llms.txt Matters

AI language models face a fundamental challenge when processing websites: they must determine which pages are most important, what the site is about, and how content is organized -- typically by crawling many pages and inferring structure. llms.txt solves this by providing an explicit, machine-readable (and human-readable) summary.

Benefits of having a well-crafted llms.txt:

  1. Faster AI comprehension: AI systems can understand your site's purpose and structure from a single file rather than crawling dozens of pages.
  2. Controlled narrative: You choose which pages and facts AI systems see first, shaping how they represent your brand.
  3. Higher citation accuracy: AI systems that consult llms.txt can cite the correct, authoritative page for each topic.
  4. Reduced misrepresentation: Key facts (pricing, features, locations) are stated explicitly, reducing AI hallucination about your business.
  5. Early adopter advantage: As of early 2026, fewer than 5% of websites have an llms.txt file, making it a differentiator.

The llms.txt Specification

File Location

The file MUST be located at the root of the domain:

https://example.com/llms.txt

Format Specification

The file uses Markdown formatting with specific conventions:

# [Site Name]

> [One-sentence description of what the site/business does. Keep under 200 characters.]

## Docs

- [Page Title](https://example.com/page-url): Concise description of what this page covers and why it matters.
- [Another Page](https://example.com/another-page): Description of content.

## Optional

- [Less Critical Page](https://example.com/optional-page): Description.

Read the full file on GitHub · 426 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. 9d ago First seen · 426 lines · 46 tokens per session scan A 783fa8d61fb5

Subscribe to this mod's changes

geo-llmstxt is a skill published in the GitHub repository bytefer/geo-seo-codex (11 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 3,666 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to geo-llmstxt, differing in 9 lines, and is treated as a copy.

Related

Other skills, from other repositories

building-edgespark-apps

Build and modify EdgeSpark apps. Use when a project has edgespark.toml, the user mentions EdgeSpark, or work involves the edgespark CLI, server SDK types, storage/auth/database workflows, deployment, or @edgespark/web.

edgesparkhq/codex-plugins · 55 tokens

edgespark-frontend-design

Design and redesign EdgeSpark frontends with distinctive, production-grade visual direction instead of generic AI-looking UI. Use when building or polishing landing pages, marketing sites, dashboards, auth flows, portfolios, product surfaces, or reusable frontend sections in EdgeSpark, especially when the task…

edgesparkhq/codex-plugins · 87 tokens

ppt-design-skill

Design, generate, review, and revise editable PowerPoint presentations through a rigorous brief-to-PNG workflow using the public pptx-designer Python library.

sunchaokun/PPT-Design-Skill · 35 tokens

flutter-ui

Build Flutter UI from Figma MCP or image input. Scans src for design tokens (colors, sizes, text styles), existing components, and naming conventions before writing a single line of code. Never hard-codes values.

datit309/supergraph · 48 tokens

serena

Serena code intelligence — LSP-powered symbol navigation, diagnostics, and targeted code surgery. Activate before complex refactors, cross-file analysis, or when graph tools need symbol-level depth.

datit309/supergraph · 40 tokens

database-migrations

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).

datit309/supergraph · 56 tokens