niche-opportunity-finder

niche-opportunity-finder is a skill for Claude Code, Codex from Gingg7260/affiliate-skills. It costs 123 tokens per session (2,671 once invoked), scanned A, original, MIT.

A research tool for finding affiliate marketing niches, meaning focused topics or audiences to build content around. It compares search demand, competition, and available affiliate programs to produce a scored shortlist.

In plain words
What is it for?
Choosing a first niche, validating an idea, finding lower-competition opportunities, and matching a topic to a blog, TikTok, YouTube, or LinkedIn strategy.
Why use it?
It helps beginners choose a topic with evidence instead of relying only on personal interests or vague ideas. It can also reveal underserved areas and test whether a niche fits a particular audience or publishing platform.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; mentions Claude Code; built for openclaw.

Good fit Choosing a first niche, validating an idea, finding lower-competition opportunities, and matching a topic to a blog, TikTok, YouTube, or LinkedIn strategy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingg7260/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 Gingg7260/affiliate-skills --skill niche-opportunity-finder
Clone the repo
git clone --depth 1 https://github.com/Gingg7260/affiliate-skills

Made for: Claude Code, Codex.

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/gingg7260/affiliate-skills/niche-opportunity-finder/github.svg)](https://agentmods.dev/skills/gingg7260/affiliate-skills/niche-opportunity-finder)
Your own site
<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/niche-opportunity-finder"><img src="https://agentmods.dev/badge/skills/gingg7260/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/gingg7260/affiliate-skills/niche-opportunity-finder"><img src="https://agentmods.dev/badge/skills/gingg7260/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 2,671 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 $0.02671
Opus 5 $0.00062 $0.01336
Sonnet 5 $0.00025 $0.00534
Haiku 4.5 $0.00012 $0.00267

Measured 12d ago against content hash 625280f52f46, 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 12d 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.

skills/research/niche-opportunity-finder/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 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 · 264 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. 12d ago First seen · 264 lines · 123 tokens per session scan A 625280f52f46

Subscribe to this mod's changes

niche-opportunity-finder is a skill published in the GitHub repository Gingg7260/affiliate-skills (5 stars, last pushed 2d ago), licensed MIT. It adds 123 tokens to every session and 2,671 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 2026-08-31.

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