What is llm-friendly-site-optimizer?

A workflow for improving a website so AI assistants and retrieval systems can find, understand, and cite its content. It covers answer-focused writing, technical discoverability, structured data, and related site signals.

Use it to audit or improve llms.txt, direct-answer sections, summaries, FAQs, page structure, and schema for articles, news, and other site content.

It addresses the problem of useful website information being difficult for AI systems to retrieve or quote accurately. The workflow organizes both content and technical improvements around that goal.

llm-friendly-site-optimizer — Skill for Codex by sergekostenchuk

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 sergekostenchuk/ui-ux-agent-skill-system --skill llm-friendly-site-optimizer

Clone the repo

git clone --depth 1 https://github.com/sergekostenchuk/ui-ux-agent-skill-system

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-optimizer/github.svg)](https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-optimizer)

Your own site

<a href="https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-optimizer"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-optimizer"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/ui-ux-agent-skill-system/llm-friendly-site-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,046 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00120	$0.02046
Opus 5	$0.00060	$0.01023
Sonnet 5	$0.00024	$0.00409
Haiku 4.5	$0.00012	$0.00205

Measured 12d ago against content hash 440bbe5b6f4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

llm-friendly-site-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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/audit_llm_friendly_site.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

core/skills/llm-friendly-site-optimizer/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LLM Friendly Site Optimizer

Goal

Make a site a high-quality, citable source for AI assistants and RAG systems by aligning technical discoverability, clean extraction, answer-shaped content, structured data, external signals, and monitoring.

Default target profile when the user does not provide one:

site_url: "https://mlllm.io"
site_language: "ru/en"
site_niche: "AI news + builder lab"
target_audience: "AI/ML developers, technical product managers, and system architects"
top_topics:
  - "daily AI news for developers"
  - "practical MCP agent stack architecture"
  - "building an AI news Telegram bot with RAG and LLMs"
  - "autonomous AI agents and task orchestration"
  - "open-source LLM tools and benchmarks"
competitor_urls: []

Relationship To Other Skills

Use this skill as the tactical content/citation layer on top of the existing architecture skills:

seo-llm-site-architect: owns crawl/index architecture, metadata, canonical URLs, schema policy, sitemap, robots, bot policy, and search monitoring.
ui-ux-llm-product-architect: owns user journeys, page UX, accessibility, semantic controls, visual hierarchy, and rendered readability.
web-security-architect: owns privacy, public/private content boundaries, CSP/CORS/cookies/auth, secrets, and safe AI/agent execution boundaries.

Conflict rule: security, privacy, accessibility, truthful visible content, and canonical SEO architecture outrank LLM-citation tactics. Do not create hidden bot-only claims, expose private content, or add schema that is not reflected on the visible page.

Operating Modes

audit: run Step 0 and Step 1; produce a scored gap report and prioritized action plan.
llms-txt: create or update /llms.txt from the site's real canonical high-signal pages.
pillar-plan: build the topic-to-URL matrix and prioritize existing vs new pillar pages.
pillar-page: create or rewrite one page using the ideal LLM citation template.
schema: add or repair Article/NewsArticle/TechArticle/FAQ/Breadcrumb/WebSite/Software schema.
monitoring: create or update the LLM citation tracking table and weekly query set.
implementation: inspect the repository and make scoped code/content changes, then verify.

Read the full file on GitHub · 218 lines

Files

What ships with it

11 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.

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.

12d ago First seen · 218 lines · 120 tokens per session scan A 440bbe5b6f4f

Subscribe to this mod's changes

llm-friendly-site-optimizer is a skill published in the GitHub repository sergekostenchuk/ui-ux-agent-skill-system (23 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 120 tokens to every session and 2,046 once invoked, about $0.0006 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 2026-08-30.

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