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-search-optimizationgit 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-search-optimization)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-search-optimization"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-search-optimization.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00052 | $0.03553 |
| Opus 5 | $0.00026 | $0.01776 |
| Sonnet 5 | $0.00010 | $0.00711 |
| Haiku 4.5 | $0.00005 | $0.00355 |
Grade A, and why
amazon-search-optimization 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 7d 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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Search Optimization 🔍
Strategic Amazon search ranking optimization and A9 algorithm mastery. Achieve top search positions and maximize organic visibility.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -g
Usage Examples
Complete search optimization strategy:
"My product ranks page 3 for 'wireless phone charger' - create comprehensive SEO strategy to reach page 1"
A9 algorithm optimization:
"Optimize my listing for Amazon's A9 algorithm - need keyword strategy, performance factors, and ranking improvement plan"
Search visibility improvement:
"My products have low search visibility - analyze ranking factors and create optimization roadmap for better discoverability"
Core Capabilities
1. A9 Algorithm Optimization & Ranking Strategy
- Comprehensive A9 algorithm factor analysis and optimization strategy development
- Search ranking factor assessment and competitive positioning analysis
- Keyword relevance optimization and search intent alignment strategies
- Performance signal optimization and conversion rate improvement tactics
2. Technical SEO & Indexing Optimization
- Amazon indexing optimization and search visibility enhancement techniques
- Technical SEO audit and listing structure optimization for maximum crawlability
- Backend search term optimization and keyword density management
- Category and browse node optimization for improved search classification
3. Performance Monitoring & Continuous Improvement
- Search ranking tracking and visibility measurement systems
- Competitive analysis and market position monitoring frameworks
- Performance optimization cycles and strategic ranking improvement processes
- Advanced analytics integration and ROI measurement for search optimization efforts
How It Works
Step 1: Comprehensive SEO Audit & A9 Algorithm Analysis
Strategic assessment of current search performance and optimization opportunities
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.
- 7d ago First seen · 359 lines · 52 tokens per session scan A b0fe82840b01
amazon-search-optimization is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (631 stars, last pushed 11d ago), licensed MIT. It adds 52 tokens to every session and 3,553 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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