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 nexscope-ai/Amazon-Skills --skill amazon-niche-findergit clone --depth 1 https://github.com/nexscope-ai/Amazon-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/nexscope-ai/amazon-skills/amazon-niche-finder)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-niche-finder"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-niche-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.
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-niche-finder"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-niche-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 14 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00074 | $0.03073 |
| Opus 5.5 | $0.00030 | $0.01229 |
| Sonnet 5.5 | $0.00015 | $0.00615 |
| Haiku 4.5 | $0.00007 | $0.00307 |
Grade A, and why
amazon-niche-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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Niche Finder 🎯
Discover profitable niches with high demand but manageable competition. Find your blue ocean opportunities.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-niche-finder -g
Capabilities
- Niche opportunity scoring: Multi-factor analysis for market viability
- Market gap identification: Find underserved customer segments
- Competition density mapping: Identify low-competition high-demand areas
- Profit potential assessment: Margin analysis and pricing opportunities
- Growth trajectory analysis: Expanding vs. saturating markets
- Customer pain point discovery: Unmet needs in existing categories
- Cross-category opportunities: Adjacent market expansion possibilities
- Multi-marketplace support: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
Usage Examples
Users can ask naturally. Examples:
Find profitable niches in home and garden on Amazon
I want to find an underserved market with low competition but good profit potential
Discover niche opportunities in fitness equipment under $100
Find market gaps in pet products that I could fill
Show me emerging niches in kitchen gadgets
What are some untapped opportunities in baby products?
Workflow
Step 1: Category Exploration & Mapping
Identify potential niche areas within broader categories:
- Category deep dive:
"Amazon subcategories [main category]"- map category structure - Long-tail exploration:
"[category] + specific use case"- find specialized applications - Problem-based search:
"[category] problems complaints reviews"- identify pain points - Demographic targeting:
"[category] for [specific group]"- underserved segments
Niche Discovery Methods:
- Subcategory analysis: Find less competitive subcategories within popular categories
- Use case specialization: Products designed for specific situations/users
- Geographic/cultural needs: Region-specific or culturally-adapted products
- Size/age/lifestyle segments: Products for specific demographics
- Quality tiers: Premium or budget alternatives in established categories
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.
- 2mo ago First seen · 322 lines · 74 tokens per session scan A 2f5704a92922
amazon-niche-finder is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (840 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 3,073 once invoked, about $0.0003 per session on Opus 5.5. 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.
amazon-niche-finder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| amazon-niche-findernexscope-ai/Amazon-Skills | Skill | 840 | 2mo ago | MIT | A | 74 | Claude Code, Codex |
| send-donutszincio/skills | Skill | 7 | 11d ago | MIT | A | 134 | Claude Code |
| 1800flowers-checkoutzincio/skills | Skill | 7 | 11d ago | MIT | A | 106 | Claude Code, Codex |
| universal-checkoutzincio/skills | Skill | 7 | 11d ago | MIT | A | 92 | Claude Code, Codex |
| homedepot-checkoutzincio/skills | Skill | 7 | 11d ago | MIT | A | 105 | Claude Code, Codex |
| bestbuy-checkoutzincio/skills | Skill | 7 | 11d ago | MIT | A | 100 | Claude Code, Codex |
| lowes-checkoutzincio/skills | Skill | 7 | 11d ago | MIT | A | 100 | Claude Code, Codex |