content-moat-calculator SKILL.md skillA

content-moat-calculator from affitor/affiliate-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add affitor/affiliate-skills/content-moat-calculator@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
affitor/affiliate-skills
Path
skills/blog/content-moat-calculator/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Mar 17, 2026
First version recorded
Mar 17, 2026
Size
9,011 bytes
Repository stars
774
License
MIT

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 the effort", "SEO feasibility", "how many pages to rank", "content volume needed", "competitive content analysis", "moat calculation", "authority gap…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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

```yaml
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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add affitor/affiliate-skills/content-moat-calculator@sha256:b8ced32a1efd5cd2

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ni45njxb6fse2pnx.svg)](https://markdownregistry.com/a/art_ni45njxb6fse2pnx)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Mar 17, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-03-17 33ada30 9,011 BA view · diff
v1.02026-03-17 b0ac492 8,805 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9011 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

affitor/affiliate-skills · 774 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ni45njxb6fse2pnx
GET https://markdownregistry.com/api/v1/resolve?ref=affitor/affiliate-skills/content-moat-calculator
GET https://markdownregistry.com/api/v1/blob/b8ced32a1efd5cd21853503cedaa4e971324bdd647664c7d5b912e2a520b0b35

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in affitor/affiliate-skills

Other files named content-moat-calculator

content-moat-calculator SKILL.md skill
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v1.0.0 · audit A · 5 stars

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