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-profit-analyzergit 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-profit-analyzer)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-profit-analyzer"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-profit-analyzer/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-profit-analyzer"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-profit-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00060 | $0.03054 |
| Opus 5 | $0.00030 | $0.01527 |
| Sonnet 5 | $0.00012 | $0.00611 |
| Haiku 4.5 | $0.00006 | $0.00305 |
Grade A, and why
amazon-profit-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Profit Analyzer 💰
Complete profit analysis and optimization framework for Amazon sellers. Uncover true profitability and maximize margins.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-profit-analyzer -g
Usage Examples
Comprehensive profit analysis:
"Analyze profitability of my yoga mat: $34.99 selling price, $8 COGS, $400/month PPC spend, 15% ACoS, 5% return rate"
Portfolio profitability review:
"Review profit margins across my entire product catalog - need to identify underperformers and optimization opportunities"
Fee structure optimization:
"Break down all Amazon fees for my electronics category - where can I optimize costs and improve margins?"
Core Capabilities
1. Revenue Waterfall Analysis
- Complete revenue breakdown from gross sales to net profit
- Detailed fee structure analysis and hidden cost identification
- Margin calculation with advertising cost impact assessment
- Return and refund cost analysis with seasonal variations
2. Profitability Assessment & Benchmarking
- True profit margin calculation including all costs and fees
- Category-specific profitability benchmarking and competitive analysis
- Product-level and portfolio-level performance evaluation
- ROI analysis with investment recovery timeline assessment
3. Optimization Strategy Development
- Fee reduction opportunities and cost optimization strategies
- Pricing strategy recommendations for margin improvement
- Advertising spend optimization and ACoS target refinement
- Operational efficiency improvements and automation opportunities
How It Works
Step 1: Revenue & Cost Analysis
Comprehensive profit and loss breakdown with fee analysis
Analyze complete financial picture:
- Calculate gross revenue from sales data including seasonal variations and promotional impact
- Identify and quantify all Amazon fees including referral fees, FBA fees, storage costs, and advertising spend
- Analyze cost of goods sold (COGS), shipping costs, and operational expenses
- Assess return rates, refund costs, and customer service expenses impact on profitability
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.
- 12d ago First seen · 300 lines · 60 tokens per session scan A 99d1014e5c2e
amazon-profit-analyzer is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (661 stars, last pushed 17d ago), licensed MIT. It adds 60 tokens to every session and 3,054 once invoked, about $0.0003 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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