Agent skill · Audited from source

Monopoly Niche Finder

skill · Affitor/affiliate-skillsMIT licenceAudited 15 Oct 2026 · source 2515ce9634da

★ 713pushed 2 days agoversion 1.0
✓SAFEGrade B · 89/100 · 15 Oct 2026 · 2515ce9
713repo stars · whole Affitor/affiliate-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 2515ce9634da and found no filesystem, network or shell access and no hard-coded secrets. What it does: Find intersection niches where you're the ONLY voice. Thiel's "competition is for losers" lens. Triggers on: "find my monopoly niche", "blue ocean niche", "unique niche", "niche intersection", "where am I the only one",…

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Cite this page

ModelsAtlas. “Monopoly Niche Finder (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/monopoly-niche-finder

Trust audit

Audit 0.4.1 · source read 15 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 2515ce9634da · 15 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherAffitor GitHub organizationOwner of the repository this skill is read from
  • Source folderAffitor/affiliate-skills/skills/research/monopoly-niche-finderThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict2515ce9634daA new audit runs when the source changes
  • Repository statusNot archivedLast push 2 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Find intersection niches where you're the ONLY voice. Thiel's "competition is for losers" lens. Triggers on: "find my monopoly niche", "blue ocean niche", "unique niche", "niche intersection", "where am I the only one",…

---
name: monopoly-niche-finder
description: >
  Find intersection niches where you're the ONLY voice. Thiel's "competition is for losers" lens.
  Triggers on: "find my monopoly niche", "blue ocean niche", "unique niche", "niche intersection",
  "where am I the only one", "zero competition niche", "untapped niche", "category of one",
  "Thiel monopoly", "dominate a niche", "niche nobody else covers", "cross two domains",
  "find a niche with no competition", "monopoly positioning", "unique angle for affiliate".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "research", "niche-analysis", "program-discovery", "monopoly", "blue-ocean"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S1-Research
---

# Monopoly Niche Finder

Find intersection niches where you're the ONLY voice. Based on Peter Thiel's "competition is for losers" — instead of fighting for market share in "AI tools" or "SaaS reviews," cross two domains to create a niche where you're the default authority. Example: "AI video tools for real estate agents" — specific enough to own, broad enough to monetize.

## Stage

S1: Research — Finding your monopoly niche IS research. This happens before you pick a program, before you write content. It's the strategic foundation that makes everything downstream easier.

## When to Use

- User is starting out and hasn't picked a niche yet
- User is in a crowded niche and struggling with competition
- User wants a unique angle for affiliate marketing
- User says "monopoly", "blue ocean", "unique niche", "no competition"
- User has expertise in two domains and wants to combine them
- Before running `affiliate-program-search` to narrow the search space

## Input Schema

```yaml
domain_1: string              # OPTIONAL — first area of expertise/interest
                              # e.g., "real estate", "fitness", "accounting"
                              # Default: ask user

domain_2: string              # OPTIONAL — second area to cross with
                              # e.g., "AI tools", "no-code", "automation"
                              # Default: suggest options

existing_audience: string     # OPTIONAL — who already follows/reads you
                              # e.g., "small business owners", "developers"
                              # Default: none

monetization_goal: string     # OPTIONAL — "affiliate" | "info-product" | "both"
                              # Default: "affiliate"
```

## Workflow

### Step 1: Identify Domains

If domains not provided:
1. Ask user about their expertise, work experience, hobbies
2. Ask about their audience (if any)
3. Suggest 3-5 domain pairs based on their profile

If one domain provided, suggest 3-5 complementary domains to cross with.

### Step 2: Generate Intersection Niches

For each domain pair, generate 3-5 intersection niches:

Format: `[Domain 1] × [Domain 2] = [Intersection Niche]`

For each intersection:
1. **Specificity test**: Is this specific enough that you could be the #1 resource?
2. **Size test**: Is the audience large enough to monetize? (at least 10K potential monthly searches)
3. **Passion test**: Could you create 50+ pieces of content about this without burning out?
4. **Monetization test**: Are there affiliate programs in this space?

### Step 3: Validate with Data

For each top intersection niche:
1. `web_search` for `"[intersection niche]" site:reddit.com` — are people asking about this?
2. `web_search` for `"[intersection niche]" blog` — how many dedicated resources exist? (fewer = better)
3. `web_search` for `"[intersection niche]" affiliate program` — monetization potential
4. Check competitor landscape: if top 10 results are big brands → narrow further. If thin content → opportunity.

### Step 4: Score and Rank

Score each niche on:
| Factor | Weight | Scoring |
|---|---|---|
| Monopoly potential | 30% | 1-10: how few competitors |
| Monetization | 25% | 1-10: affiliate program quality |
| Audience size | 20% | 1-10: search volume + community size |
| Your fit | 15% | 1-10: expertise + passion |
| Content potential | 10% | 1-10: can you create 50+ pieces |

### Step 5: Deep Dive Top Niche

For the #1 scored niche:
1. Map 10-15 content topics you could cover
2. Identify 3-5 affiliate programs that fit
3. Describe the "ideal reader" persona
4. Suggest the first 3 pieces of content to create

### Step 6: Self-Validation

- [ ] Top niche has genuinely low competition (verified by search)
- [ ] Affiliate programs exist for this niche
- [ ] Content topics are specific (not generic)
- [ ] Niche is narrow enough to dominate but wide enough to sustain

## Output Schema

```yaml
output_schema_version: "1.0.0"
monopoly_niche:
  domain_1: string
  domain_2: string
  intersection: string          # The winning niche
  monopoly_score: number        # 1-100 composite
  competition_level: string     # "none" | "minimal" | "moderate" | "high"
  audience_size: string         # Estimated monthly search interest
  affiliate_programs: string[]  # Programs that fit this niche

niche_candidates:               # All evaluated niches
  - intersection: string
    score: number
    competition: string
    monetization: string

content_roadmap:
  ideal_reader: string
  first_topics: string[]        # First 3 content pieces
  total_topics: number          # How many topics mapped

chain_metadata:
  skill_slug: "monopoly-niche-finder"
  stage: "research"
  timestamp: string
  suggested_next:
    - "affiliate-program-search"
    - "niche-opportunity-finder"
    - "keyword-cluster-architect"
    - "category-designer"
```

## Output Format

```
## Monopoly Niche Analysis

### Your Domains
- Domain 1: [domain]
- Domain 2: [domain]

### Intersection Niches Evaluated

| # | Intersection | Monopoly | Monetization | Audience | Fit | Content | Score |
|---|---|---|---|---|---|---|---|
| 1 | [niche] | X/10 | X/10 | X/10 | X/10 | X/10 | XX/100 |
| 2

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 2515ce9

Download folder ↗
git clone https://github.com/Affitor/affiliate-skills
git -C affiliate-skills checkout 2515ce9634da

The author documents no install command, so this uses the repository directly. Our verdict covers commit 2515ce9634da only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CursorMentioned in its text, not testedSkills for Cursor · About Cursor
Gemini CLIMentioned in its text, not testedSkills for Gemini CLI · About Gemini CLI
OpenClawMentioned in its text, not testedSkills for OpenClaw · About OpenClaw
WindsurfMentioned in its text, not testedSkills for Windsurf · About Windsurf
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 2515ce9634da

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/monopoly-niche-finder/badge.svg)](https://modelsatlas.com/skills/affitor/monopoly-niche-finder/)

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Questions about Monopoly Niche Finder

What does the Monopoly Niche Finder skill do?
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
Is Monopoly Niche Finder safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Monopoly Niche Finder access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Monopoly Niche Finder work with?
Its documentation mentions claude-code, cursor, gemini-cli, openclaw and windsurf. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (2515ce9634da), read on 2026-10-15. The repository is watched, and a new audit runs when it changes — this is the first audit.

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