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-brand-analyticsgit 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-brand-analytics)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-brand-analytics"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-brand-analytics/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-brand-analytics"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-brand-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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]
- medium MCP Rug Pull · line 198 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]
- medium MCP Rug Pull · line 212 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 | $0.00131 | $0.02006 |
| Opus 5 | $0.00066 | $0.01003 |
| Sonnet 5 | $0.00026 | $0.00401 |
| Haiku 4.5 | $0.00013 | $0.00201 |
Grade A, and why
amazon-brand-analytics 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 9d 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Brand Analytics 📊
Unlock Brand Analytics insights for strategic growth. Requires Brand Registry — works with your data.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-brand-analytics -g
Capabilities
- Search Frequency Rank (SFR) analysis: Decode keyword opportunities, click share gaps, and conversion optimization
- Market Basket intelligence: Identify cross-sell opportunities, bundle strategies, and category expansion
- Item Comparison insights: Understand competitive positioning and customer consideration factors
- Demographic analysis: Extract customer segment insights and geographic opportunities
- Seasonal trend detection: Identify timing patterns and market shifts from search data
- Strategic recommendations: Convert raw data into actionable growth strategies
- Multi-marketplace support: Works with Brand Analytics from all Amazon regions
Usage Examples
Users can ask naturally. Examples:
Analyze my Search Frequency Rank data for "wireless earbuds" — show keyword opportunities and click share gaps
Review my Market Basket data for the last 6 months. What cross-sell and bundling opportunities do you see?
Interpret my Item Comparison report for yoga mats — how do customers evaluate my product vs competitors?
Generate Brand Analytics strategy report for Q4 combining SFR, Market Basket, and demographic data
Find seasonal trends and opportunity keywords from my Brand Analytics data for kitchen appliances
Three Analysis Modes
| Mode | Input Required | Output | Best For |
|---|---|---|---|
| SFR Analysis | Search Frequency Rank data export | Keyword opportunities, click/conversion gaps | Advertising optimization |
| Market Basket | Market Basket Analysis export | Cross-sell opportunities, bundle recommendations | Product strategy |
| Item Comparison | Item Comparison report data | Competitive positioning insights | Product development |
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.
- 9d ago First seen · 233 lines · 131 tokens per session scan A 5cf1a942f210
amazon-brand-analytics is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (644 stars, last pushed 14d ago), licensed MIT. It adds 131 tokens to every session and 2,006 once invoked, about $0.0007 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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