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/eCommerce-Skills --skill ecommerce-competitor-analysisgit clone --depth 1 https://github.com/nexscope-ai/eCommerce-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/ecommerce-skills/ecommerce-competitor-analysis)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ecommerce-competitor-analysis"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-competitor-analysis/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/ecommerce-skills/ecommerce-competitor-analysis"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- 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 | $0.00052 | $0.02724 |
| Opus 5 | $0.00026 | $0.01362 |
| Sonnet 5 | $0.00010 | $0.00545 |
| Haiku 4.5 | $0.00005 | $0.00272 |
Grade A, and why
ecommerce-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 10d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-commerce Competitor Analysis 🔍
Comprehensive cross-platform competitor intelligence. Analyze strategies, positioning, and performance across all channels.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-competitor-analysis -g
Usage Examples
Multi-platform competitor assessment:
"Analyze my top 3 competitors across Amazon, Shopify, and social commerce - where are they strongest?"
Strategic positioning analysis:
"Compare competitor strategies in the sustainable fashion space - pricing, messaging, and market positioning"
Channel performance evaluation:
"Which competitors are winning on TikTok Shop vs Amazon and what's their different approach?"
Core Capabilities
1. Cross-Platform Presence Analysis
- Multi-channel footprint mapping and strategic assessment
- Platform-specific performance and market share evaluation
- Channel optimization and resource allocation analysis
- Omnichannel strategy effectiveness assessment
2. Strategic Intelligence & Positioning
- Brand positioning and messaging framework analysis
- Competitive differentiation and unique value proposition evaluation
- Marketing strategy and customer acquisition approach assessment
- Product portfolio and market expansion strategy analysis
3. Performance Benchmarking & Insights
- Market share and growth trajectory analysis
- Customer engagement and loyalty metrics comparison
- Operational efficiency and strategic execution evaluation
- Innovation pipeline and competitive advantage assessment
How It Works
Step 1: Multi-Platform Competitor Mapping
Comprehensive cross-channel competitive landscape analysis
Map competitive presence and strategy:
- Identify and catalog competitor presence across all relevant e-commerce platforms
- Analyze platform-specific strategies, messaging, and performance indicators
- Evaluate omnichannel integration and cross-platform synergies
- Assess competitive strengths and weaknesses by channel
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.
- 10d ago First seen · 312 lines · 52 tokens per session scan A e65bce6c2c1d
ecommerce-competitor-analysis is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (900 stars, last pushed 14d ago), licensed MIT. It adds 52 tokens to every session and 2,724 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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