content-moat-calculator

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

An estimate of how much content a website may need to build topical authority, meaning broad and credible coverage of a subject. It compares the planned topic with competing websites before major work begins.

In plain words
What is it for?
Use it to estimate article needs, review content gaps, and decide whether to invest in a niche or content project.
Why use it?
It helps determine whether a topic is realistic to pursue and how much writing effort may be required.

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 article needs, review content gaps, and decide whether to invest in a niche or content project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/affitor/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 Affitor/affiliate-skills --skill content-moat-calculator
Clone the repo
git clone --depth 1 https://github.com/Affitor/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/affitor/affiliate-skills/content-moat-calculator/github.svg)](https://agentmods.dev/skills/affitor/affiliate-skills/content-moat-calculator)
Your own site
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/content-moat-calculator"><img src="https://agentmods.dev/badge/skills/affitor/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/affitor/affiliate-skills/content-moat-calculator"><img src="https://agentmods.dev/badge/skills/affitor/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. 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 $0.00114 $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

Copies of this mod

2 near-identical copies found in the catalogue:

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 Affitor/affiliate-skills (656 stars, last pushed 5d ago), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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