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-competitor-analysisgit 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-competitor-analysis)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-competitor-analysis"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-competitor-analysis.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.01013 |
| Opus 5 | $0.00032 | $0.00507 |
| Sonnet 5 | $0.00013 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
amazon-competitor-analysis 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 8d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Competitor Analysis 🏆
Full-spectrum competitor intelligence to outsmart your competition. Analyze listings, pricing, ads, and positioning gaps.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-competitor-analysis -g
Usage Examples
Basic competitor analysis:
"Compare my dog bed against ASIN B0EXAMPLE1 and B0EXAMPLE2"
Competitive gap analysis:
"Find weaknesses in the top 5 competitors for 'wireless earbuds under $50'"
Market positioning analysis:
"How do competitors position their products in the home security category?"
Core Capabilities
1. Listing Quality Comparison
- Title optimization analysis vs competitors
- Bullet point effectiveness scoring
- Image quality and infographic comparison
- A+ Content analysis and gaps
2. Pricing & Positioning Strategy
- Price positioning in category context
- Deal frequency and promotional patterns
- Value proposition differentiation
- Market share estimation
3. Review Intelligence
- Sentiment comparison across competitors
- Common complaint patterns
- Feature request extraction
- Quality perception analysis
4. Advertising Visibility Assessment
- Sponsored placement frequency
- Keyword competition analysis
- Ad copy effectiveness review
- PPC spend estimation
How It Works
Step 1: Competitive Data Collection
Using web search and Amazon data sources
Search for competitor products and gather:
- Product listings and specifications
- Pricing history and current positions
- Review counts and sentiment patterns
- Advertising visibility signals
Step 2: Comparative Analysis
Multi-dimensional competitor comparison
Analyze key differentiation factors:
- Feature comparison matrix
- Price-value positioning
- Customer satisfaction gaps
- Market share indicators
Step 3: Strategic Recommendations
Actionable competitive intelligence
Generate specific recommendations:
- Pricing optimization opportunities
- Listing improvement priorities
- Product differentiation strategies
- Marketing positioning angles
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.
- 8d ago First seen · 151 lines · 65 tokens per session scan A bea0b32f6032
amazon-competitor-analysis is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (637 stars, last pushed 12d ago), licensed MIT. It adds 65 tokens to every session and 1,013 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.
Other skills, from other repositories
1800flowers-checkout
Buy products from 1-800-Flowers (1800flowers.com) and manage those orders via the Zinc API (zinc.com). Use when the user wants to purchase, order, or check out an item from 1-800-Flowers, check 1-800-Flowers order status or tracking, cancel a 1-800-Flowers order, or return a 1-800-Flowers item. One API also covers…
send-donuts
Send a box of Krispy Kreme donuts (doughnuts) to someone by mail, paid with your own credit card via Stripe Link — driven entirely from the terminal. Use when the user wants to send donuts, doughnuts, treats, or a thank-you gift to a lead, prospect, customer, colleague, or friend — e.g. "send donuts to Jane at Acme"…
ecommerce-amazon-advertising-api
Authorize Amazon Ads accounts, manage SP, SB, and SD entities, and retrieve advertising reports.
ecommerce-amazon-ads-manager
Read and mutate SP, SB, and SD campaigns, ad groups, ads, targeting, and budget rules.
ecommerce-amazon-asin-traffic-summary
Summarize the traffic sources and keyword performance of an Amazon ASIN with SIF data. Use for ASIN traffic analysis, organic and paid traffic comparisons, keyword contribution, or competitor traffic research.
ecommerce-amazon-alexa-search
Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A…