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-display-adsgit 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-display-ads)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-display-ads"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-display-ads/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-display-ads"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-display-ads.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 | $0.00050 | $0.04739 |
| Opus 5.5 | $0.00020 | $0.01896 |
| Sonnet 5.5 | $0.00010 | $0.00948 |
| Haiku 4.5 | $0.00005 | $0.00474 |
Grade A, and why
amazon-display-ads 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 1mo 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 — 490 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Display Ads 🎯
Strategic Amazon Sponsored Display campaign management. Master audience targeting, retargeting, and creative optimization for maximum reach.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-display-ads -g
Usage Examples
Complete display advertising strategy:
"Set up Amazon Sponsored Display campaigns for my electronics brand - need audience targeting, retargeting, and competitor strategies"
Retargeting campaign optimization:
"My display ads have low conversion rates - help me optimize audience targeting and creative strategy for better performance"
Audience expansion strategy:
"How can I use Amazon display ads to reach new audiences beyond my current customers and expand market reach?"
Core Capabilities
1. Audience Strategy & Targeting Optimization
- Comprehensive audience targeting strategy across interests, behaviors, and demographics
- Advanced retargeting campaign development and customer journey optimization
- Lookalike audience creation and expansion strategies for new customer acquisition
- Competitive audience targeting and market share capture tactics
2. Creative Strategy & Optimization
- Display ad creative development and testing frameworks
- Visual design optimization for different audience segments and placements
- A/B testing methodologies and creative performance analysis
- Brand messaging alignment and creative asset management
3. Campaign Management & Performance Optimization
- Campaign structure optimization and budget allocation strategies
- Bid management and placement optimization for maximum efficiency
- Performance tracking and ROI optimization across audience segments
- Cross-campaign integration and portfolio-level optimization strategies
How It Works
Step 1: Audience Research & Targeting Strategy Development
Comprehensive audience analysis and targeting strategy creation
Develop strategic audience targeting approach:
- Analyze customer data and behavior patterns to identify high-value audience segments and characteristics
- Research competitive landscape and identify audience overlap opportunities and market expansion potential
- Develop comprehensive targeting strategy across product, interest, and demographic audience types
- Create retargeting funnels and customer journey optimization strategies for maximum conversion impact
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.
- 1mo ago First seen · 490 lines · 50 tokens per session scan A 0bdffca48a67
amazon-display-ads is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (806 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 4,739 once invoked, about $0.0002 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.
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