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-listing-imagesgit 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-listing-images)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-listing-images"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-listing-images/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-listing-images"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-listing-images.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 | $0.00051 | $0.04197 |
| Opus 5.5 | $0.00020 | $0.01679 |
| Sonnet 5.5 | $0.00010 | $0.00839 |
| Haiku 4.5 | $0.00005 | $0.00420 |
Grade A, and why
amazon-listing-images 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 — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Listing Images 📸
Strategic Amazon product listing image optimization for maximum conversion impact. Professional visual content planning and performance optimization.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-images -g
Usage Examples
Complete image strategy development:
"Create comprehensive image strategy for portable blender - need shot list, infographics, lifestyle scenes for gym and office audience"
Visual conversion optimization:
"My listing has low conversion rates - optimize image strategy with A/B testing plan and mobile-first design"
Competitive visual positioning:
"Analyze competitor images and create differentiated visual strategy that highlights unique value propositions"
Core Capabilities
1. Strategic Visual Content Planning & Shot List Development
- Comprehensive image strategy development based on customer psychology and conversion optimization
- Professional shot list creation with detailed photography briefs and technical specifications
- Visual hierarchy planning and customer journey optimization through strategic image sequencing
- Brand consistency frameworks and visual identity development for competitive differentiation
2. Conversion-Focused Image Design & Infographic Creation
- Data-driven infographic design with feature comparison and benefit visualization strategies
- Mobile-first image optimization and responsive visual content development
- Professional lifestyle photography planning with audience-specific scene development
- Visual storytelling frameworks and emotional engagement strategies for maximum conversion impact
3. Performance Optimization & A/B Testing Strategy
- Image performance tracking and conversion analytics with systematic optimization frameworks
- A/B testing methodologies for visual elements and strategic image variation development
- Competitive visual analysis and market positioning through differentiated image strategies
- Ongoing optimization cycles and performance improvement through data-driven visual refinements
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 · 422 lines · 51 tokens per session scan A d37454c871f6
amazon-listing-images is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (806 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 4,197 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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