niche-opportunity-finder

niche-opportunity-finder is a skill for Claude Code from Affitor/affiliate-skills. It costs 123 tokens per session (2,699 once invoked), scanned A, original, MIT.

A research workflow for choosing affiliate niches, meaning focused topics or markets in which to promote products. It evaluates search demand, competition, and available affiliate programs.

In plain words
What is it for?
Use it to generate and compare niche ideas based on interests, audience, publishing platform, budget, goals, and topics to avoid.
Why use it?
It helps avoid choosing a topic only because it seems popular. The analysis gives beginners a basis for deciding whether a niche has room and earning potential.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; mentions Claude Code; built for openclaw.

Part of the research-skills plugin — 4 skills shipped together

Good fit Use it to generate and compare niche ideas based on interests, audience, publishing platform, budget, goals, and topics to avoid.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/affitor/affiliate-skills/niche-opportunity-finder
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 niche-opportunity-finder
Clone the repo
git clone --depth 1 https://github.com/Affitor/affiliate-skills

Made for: Claude Code.

Or install research-skills, the plugin that ships this one along with the rest of its 4 skills.

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 niche-opportunity-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/affitor/affiliate-skills/niche-opportunity-finder/github.svg)](https://agentmods.dev/skills/affitor/affiliate-skills/niche-opportunity-finder)
Your own site
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/niche-opportunity-finder"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/niche-opportunity-finder/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 niche-opportunity-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/niche-opportunity-finder"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/niche-opportunity-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,699 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 $0.00123 $0.02699
Opus 5 $0.00062 $0.01350
Sonnet 5 $0.00025 $0.00540
Haiku 4.5 $0.00012 $0.00270

Measured 6d ago against content hash 4cfef27d932b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

niche-opportunity-finder 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 6d 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

1 near-identical copy found in the catalogue:

skills/research/niche-opportunity-finder/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Niche Opportunity Finder

Analyze search demand, competition, and available affiliate programs to surface untapped niches worth entering. Outputs a scored shortlist with clear reasoning so beginners can start promoting in under an hour.

Stage

This skill belongs to Stage S1: Research

When to Use

  • User is new to affiliate marketing and has no niche
  • User is unhappy with their current niche and wants alternatives
  • User wants to validate a niche idea before investing time
  • User asks which niches are trending or low-competition
  • User wants to find niches underserved by existing affiliates

Input Schema

{
  interests: string[]       # (optional) Topics user already knows or cares about
  audience: string          # (optional) Who they plan to reach — "beginners", "professionals", "parents"
  platform: string          # (optional) Where they'll publish — "blog", "tiktok", "youtube", "linkedin"
  budget: string            # (optional) "zero" | "low ($0-50/mo)" | "medium ($50-200/mo)"
  goal: string              # (optional) "first $100" | "side income $1k/mo" | "full-time income"
  avoid: string[]           # (optional) Niches or topics to exclude
}

Workflow

Step 1: Understand the User's Situation

Ask (if not already clear from context):

  1. Any topics you already know well or are curious about?
  2. Where will you publish content? (blog, TikTok, YouTube, newsletter...)
  3. What's your income goal in the first 6 months?

If user says "just find me something" → default to: AI/SaaS tools, YouTube or blog, goal = first $500/mo.

Step 2: Generate Niche Candidates

Produce 8-12 niche candidates across 3 tiers:

Tier A — Trending (high demand, growing fast): Use web_search "fastest growing affiliate niches [current year]" and web_search "trending affiliate programs [current year]" to find niches with momentum. Look for: AI tools, health tech, fintech, remote work tools, creator economy.

Tier B — Evergreen (stable demand, proven programs): Always-on niches: personal finance, web hosting, email marketing, SEO tools, fitness/wellness, online education, cybersecurity.

Read the full file on GitHub · 265 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago Changed 4cfef27d932b
  2. 13d ago First seen · 265 lines · 123 tokens per session scan A 111eb481e4a6

Subscribe to this mod's changes

niche-opportunity-finder is a skill published in the GitHub repository Affitor/affiliate-skills (658 stars, last pushed 7d ago), licensed MIT. It adds 123 tokens to every session and 2,699 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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