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.
npx skills add Gingg7260/affiliate-skills --skill content-moat-calculatorgit clone --depth 1 https://github.com/Gingg7260/affiliate-skillsWrote 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.
[](https://agentmods.dev/skills/gingg7260/affiliate-skills/content-moat-calculator)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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-architectto 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.
web_searchfor[hub_keyword]or main niche keyword- Identify top 5 ranking sites (exclude giants like Wikipedia, Reddit)
- 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)
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.
- 11d ago First seen · 239 lines · 114 tokens per session scan A b8ced32a1efd
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.
Other skills, from other repositories
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…
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…
affiliate-blog-builder
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comparison-post-writer
Write "X vs Y" comparison blog posts that help readers choose between two competing products. Triggers on: "write a comparison post", "X vs Y blog post", "compare [product A] and [product B]", "which is better [A] or [B]", "head to head comparison", "[product] vs [product] article", "comparison review", "write a…
how-to-tutorial-writer
Write how-to guides and tutorials that naturally integrate affiliate product recommendations. Triggers on: "write a how-to guide", "tutorial for [task]", "step by step guide to [goal]", "how to [verb] with [product]", "write a tutorial blog post", "guide on how to [task]", "beginner guide to [topic]", "walkthrough for…
listicle-generator
Write "Top N best..." listicle articles for affiliate marketing with mini-reviews, pricing, pros/cons, and CTAs per entry. Triggers on: "write a best of list", "top 10 [category] tools", "best [product category] article", "roundup post", "listicle about [category]", "write a top tools article", "best [N] alternatives…