topical-authority-map

topical-authority-map is a skill for Claude Code, Codex from lhitches/claude-seo-skills. It costs 110 tokens per session (1,052 once invoked), scanned A, original, MIT.

A website content-planning system that turns one starting keyword into four connected groups of pages, including sales pages, supporting articles, internal links, and buyer stages. It produces an Excel workbook and a written strategy.

In plain words
What is it for?
Use it to plan a website’s content structure, map internal links, organize pages by the buyer’s stage, and create a 12-week publishing plan.
Why use it?
It replaces a loose keyword list with a plan showing which pages to create, how they connect, and what order to publish them in.

Skill for Claude CodeCodex

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

Good fit Use it to plan a website’s content structure, map internal links, organize pages by the buyer’s stage, and create a 12-week publishing plan.

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Install with agentmods
npx agentmods add skills/lhitches/claude-seo-skills/topical-authority-map
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 lhitches/claude-seo-skills --skill topical-authority-map
Clone the repo
git clone --depth 1 https://github.com/lhitches/claude-seo-skills

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 topical-authority-map

README.md
[![agentmods](https://agentmods.dev/badge/skills/lhitches/claude-seo-skills/topical-authority-map/github.svg)](https://agentmods.dev/skills/lhitches/claude-seo-skills/topical-authority-map)
Your own site
<a href="https://agentmods.dev/skills/lhitches/claude-seo-skills/topical-authority-map"><img src="https://agentmods.dev/badge/skills/lhitches/claude-seo-skills/topical-authority-map/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 topical-authority-map

Your own site · 80×15
<a href="https://agentmods.dev/skills/lhitches/claude-seo-skills/topical-authority-map"><img src="https://agentmods.dev/badge/skills/lhitches/claude-seo-skills/topical-authority-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,052 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00110 $0.01052
Opus 5 $0.00055 $0.00526
Sonnet 5 $0.00022 $0.00210
Haiku 4.5 $0.00011 $0.00105

Measured 11d ago against content hash dec53b7c07d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

topical-authority-map 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 11d 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/topical-authority-map/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are building a Topical Authority Map. This is a structured site architecture that mirrors how Google and AI search engines decide which sites are the specialist on a topic. It is NOT a keyword list. It is NOT a list of topics. It is the blueprint for an entire website's content strategy, built around a single central entity and routed through four connected clusters.

The four clusters:

  1. Core Pages (the money pages users buy from)
  2. AOR Pages (Areas of Relevance, the supporting authority articles)
  3. Linking Map (which page links to which page, with what anchor text)
  4. Buyer Journey (every page tagged TOFU, MOFU, or BOFU)

Plus a fifth output: a 12-week Publishing Order with content briefs that turns the map into a content plan.

Output: Two deliverables.

  1. .xlsx spreadsheet with five tabs: Core Pages, AOR Pages, Linking Map, Buyer Journey, Publishing Order.
  2. .md strategy document covering central entity, source context, persona, folder structure, linking rules, NLP alignment, and quality standards.

Mode: Interactive. Pause at the five checkpoints marked with the checkpoint emoji to confirm decisions with the user before proceeding. Do not skip checkpoints.


Why topical maps work

Topical maps work because of five mechanics, not because of E-E-A-T marketing:

  1. Historical user data accumulation. Every visitor adds data to Google's view of your site. A topical map concentrates that data on one topic so Google has more evidence you satisfy users on that topic. Spread the data across four unrelated topics and you lose on all four.
  2. Knowledge Graph alignment. Google has entities with attributes and relationships. Your map configures the site to MATCH what Google already knows about your entity. Match the structure and Google retrieves your pages cheaply.
  3. Lower cost of retrieval. Every title, heading, paragraph, and image should map to a real query. Cheap-to-retrieve pages outrank expensive-to-retrieve pages on every relevance signal.
  4. Satisfaction signal transfer. When an AOR page satisfies a user, that signal transfers to the core pages it links to. More AOR pages, more satisfaction signals, stronger core pages.
  5. Index construction efficiency. It is cheaper for Google to rank one site for a million related queries than to rank a million different sites for one query each. Deep architecture lets Google serve the whole topic from your domain.

Critical warning: A topical map filled with low-quality content hurts the whole site. Bad pages drag every other page down. Do not publish to fill the map. Every article must be quality work. If you cannot write a good article on a topic, leave it out.


Read the full file on GitHub · 69 lines

Files

What ships with it

7 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.

  1. 11d ago First seen · 69 lines · 110 tokens per session scan A dec53b7c07d1

Subscribe to this mod's changes

topical-authority-map is a skill published in the GitHub repository lhitches/claude-seo-skills (10 stars, last pushed 5d ago), licensed MIT. It adds 110 tokens to every session and 1,052 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 2026-08-31.

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