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 competitor-price-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/competitor-price-analysis)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/competitor-price-analysis"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/competitor-price-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/competitor-price-analysis"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/competitor-price-analysis.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 | $0.02156 |
| Opus 5 | $0.00025 | $0.01078 |
| Sonnet 5 | $0.00010 | $0.00431 |
| Haiku 4.5 | $0.00005 | $0.00216 |
Grade A, and why
competitor-price-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 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Price Analysis 💲
Strategic competitor pricing intelligence. Map market positions, identify opportunities, and optimize your pricing strategy.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill competitor-price-analysis -g
Usage Examples
Market pricing landscape analysis:
"Analyze competitor pricing for wireless earbuds $20-80 on Amazon - who's winning at each price point?"
Pricing gap identification:
"Find pricing gaps and opportunities in the skincare market on Shopify"
Price elasticity analysis:
"Analyze how competitors respond to price changes in the home fitness equipment category"
Core Capabilities
1. Competitive Price Mapping
- Market price positioning and distribution analysis
- Price tier identification and competitor clustering
- Value proposition assessment at different price points
- Market share analysis by pricing segments
2. Pricing Gap & Opportunity Analysis
- Underserved price point identification
- Premium and budget market opportunities
- White space analysis for new product positioning
- Price-feature correlation assessment
3. Price Elasticity & Strategy Intelligence
- Competitor price change pattern analysis
- Market response to pricing adjustments
- Dynamic pricing behavior evaluation
- Promotional pricing strategy assessment
How It Works
Step 1: Competitive Price Research & Data Collection
Comprehensive competitor pricing landscape analysis
Gather competitive pricing intelligence:
- Research competitor product catalogs and pricing structures across platforms
- Analyze price positioning relative to features, quality, and brand positioning
- Map pricing tiers and identify competitor clustering patterns
- Collect historical pricing data and promotional patterns
Step 2: Market Analysis & Opportunity Identification
Strategic pricing gap and positioning analysis
Analyze market pricing dynamics:
- Identify underserved price points and market gaps
- Evaluate price-value relationships and competitive advantages
- Analyze customer price sensitivity and purchasing behavior patterns
- Assess market positioning opportunities and threats
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 · 253 lines · 50 tokens per session scan A a4d0dbe58ca2
competitor-price-analysis is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (908 stars, last pushed 16d ago), licensed MIT. It adds 50 tokens to every session and 2,156 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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