content-moat-calculator SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
content-moat-calculator from gingg7260/affiliate-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gingg7260/affiliate-skills/content-moat-calculator@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gingg7260/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
- 5
- 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
mdr add gingg7260/affiliate-skills/content-moat-calculator@sha256:b8ced32a1efd5cd2The 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.
[](https://markdownregistry.com/a/art_cswtynri2sx7yu3u)
4 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.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-03-17 | 33ada30 | 9,011 B | A | view · diff |
| v1.0 | 2026-03-17 | b0ac492 | 8,805 B | A | view |
Audit of the latest version
- 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
gingg7260/affiliate-skills · 5 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cswtynri2sx7yu3u GET https://markdownregistry.com/api/v1/resolve?ref=gingg7260/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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