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-advertising-strategygit 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-advertising-strategy)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-advertising-strategy"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-advertising-strategy/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-advertising-strategy"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-advertising-strategy.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 | $0.00059 | $0.04524 |
| Opus 5 | $0.00030 | $0.02262 |
| Sonnet 5 | $0.00012 | $0.00905 |
| Haiku 4.5 | $0.00006 | $0.00452 |
Grade A, and why
amazon-advertising-strategy 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 11d 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 — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Advertising Strategy 📢
Comprehensive Amazon PPC strategy and campaign optimization. Master Sponsored Products, Sponsored Brands, and Sponsored Display for maximum ROI.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy -g
Usage Examples
Complete advertising strategy development:
"Create a comprehensive Amazon PPC strategy for my kitchen gadgets with $5K monthly budget - need SP, SB, and SD campaigns"
Campaign optimization and ACoS improvement:
"My Amazon ads are running at 35% ACoS but I need 25% - help optimize my campaign structure and bidding strategy"
Budget allocation across campaign types:
"How should I allocate my $10K monthly Amazon ad spend across Sponsored Products, Sponsored Brands, and Sponsored Display?"
Core Capabilities
1. Multi-Campaign Strategy Development
- Complete campaign architecture across SP, SB, and SD campaign types
- Budget allocation optimization and strategic campaign prioritization
- Keyword strategy development and match type distribution
- Competitive analysis and market positioning through advertising
2. Performance Optimization & ACoS Management
- Bidding strategy optimization and automated bid management setup
- ACoS target setting and profitability optimization frameworks
- Performance tracking and campaign health monitoring systems
- Creative optimization and ad copy testing methodologies
3. Advanced Campaign Management
- Campaign structure optimization and scalability planning
- Seasonal campaign planning and budget reallocation strategies
- Cross-campaign synergy and portfolio-level optimization
- Advanced targeting and audience development for maximum reach
How It Works
Step 1: Strategy Development & Campaign Architecture
Comprehensive advertising strategy creation and campaign structure design
Develop integrated Amazon advertising strategy:
- Analyze product portfolio and competitive landscape to determine optimal campaign mix and priorities
- Design campaign architecture across Sponsored Products, Sponsored Brands, and Sponsored Display for maximum coverage
- Establish keyword strategy with appropriate match types, negative keyword lists, and bidding approaches
- Set budget allocation framework based on product margins, competition levels, and business objectives
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.
- 11d ago First seen · 457 lines · 59 tokens per session scan A 30e0b695cd8e
amazon-advertising-strategy is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (655 stars, last pushed 16d ago), licensed MIT. It adds 59 tokens to every session and 4,524 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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