content-moat-calculator

content-moat-calculator is a skill for Claude Code, Codex from Gingg7260/affiliate-skills. It costs 114 tokens per session (2,191 once invoked), scanned A, a copy of content-moat-calculator, MIT.

A planning tool that estimates how many pages a website may need to compete in a topic. Topical authority means building enough useful coverage for a subject to be seen as a strong resource.

In plain words
What is it for?
Use it to estimate content needs for a niche, assess competitors’ coverage, perform a content gap analysis, and make a go-or-no-go decision.
Why use it?
It helps decide whether a content project is realistic before committing months of writing and research.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Good fit Use it to estimate content needs for a niche, assess competitors’ coverage, perform a content gap analysis, and make a go-or-no-go decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingg7260/affiliate-skills/content-moat-calculator
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 Gingg7260/affiliate-skills --skill content-moat-calculator
Clone the repo
git clone --depth 1 https://github.com/Gingg7260/affiliate-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 content-moat-calculator

README.md
[![agentmods](https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/content-moat-calculator/github.svg)](https://agentmods.dev/skills/gingg7260/affiliate-skills/content-moat-calculator)
Your own site
<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/content-moat-calculator"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/content-moat-calculator/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 content-moat-calculator

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/content-moat-calculator"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/content-moat-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,191 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 100% 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 $0.00114 $0.02191
Opus 5 $0.00057 $0.01095
Sonnet 5 $0.00023 $0.00438
Haiku 4.5 $0.00011 $0.00219

Measured 11d ago against content hash b8ced32a1efd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-moat-calculator 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.

Origin

This is a copy

100% identical to content-moat-calculator — 0 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/blog/content-moat-calculator/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Moat Calculator

Estimate the total content investment needed to establish topical authority in a niche. Analyzes competitors' content volume and quality to give you a go/no-go decision before investing months of work. Answers the question: "How many pages do I need to dominate this topic?"

Stage

S3: Blog & SEO — This decides what blog content to build. It's the feasibility check that saves you from starting a content strategy you can't finish.

When to Use

  • User is deciding whether to invest in a niche/topic
  • User asks "how many articles do I need to rank?"
  • User wants to understand the content investment required
  • User says "content moat", "topical authority", "feasibility", "content gap"
  • After keyword-cluster-architect to estimate effort for the planned clusters
  • Before committing to a major content initiative

Input Schema

niche: string                 # REQUIRED — the topic to analyze
                              # e.g., "AI video tools", "email marketing for SaaS"

hub_keyword: string           # OPTIONAL — main keyword to analyze competitors for
                              # Default: inferred from niche

your_current_pages: number    # OPTIONAL — how many pages you already have on this topic
                              # Default: 0

publishing_capacity: string   # OPTIONAL — "1/week" | "2/week" | "3/week" | "5/week"
                              # Default: "2/week"

Chaining from S3 keyword-cluster-architect: Use keyword_clusters.total_clusters and keyword_clusters.hub.keyword.

Workflow

Step 1: Analyze Top Competitors

Read shared/references/seo-strategy.md for moat calculation methodology.

  1. web_search for [hub_keyword] or main niche keyword
  2. Identify top 5 ranking sites (exclude giants like Wikipedia, Reddit)
  3. For each competitor:
    • web_search: site:[competitor.com] [niche topic] — count pages on this topic
    • Note: content depth (word count), content freshness (publish dates), content types (blog, comparison, tutorial)

Read the full file on GitHub · 239 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. 11d ago First seen · 239 lines · 114 tokens per session scan A b8ced32a1efd

Subscribe to this mod's changes

content-moat-calculator is a skill published in the GitHub repository Gingg7260/affiliate-skills (5 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 2,191 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-moat-calculator, differing in 0 lines, and is treated as a copy.

Related

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content-moat-calculator

Estimate pages needed for topical authority. Go/no-go decision before investing months in content. Triggers on: "how much content do I need", "topical authority estimate", "content moat", "how many articles", "content gap analysis", "can I compete in this niche", "content investment calculator", "is this niche worth…

Affitor/affiliate-skills · 114 tokens

content-moat-calculator

Estimate pages needed for topical authority. Go/no-go decision before investing months in content. Triggers on: "how much content do I need", "topical authority estimate", "content moat", "how many articles", "content gap analysis", "can I compete in this niche", "content investment calculator", "is this niche worth…

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