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 dynamic-pricing-ecommercegit 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/dynamic-pricing-ecommerce)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/dynamic-pricing-ecommerce"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/dynamic-pricing-ecommerce/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/dynamic-pricing-ecommerce"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/dynamic-pricing-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
- Socket pass
- Snyk pass
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 13 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 | $0.00096 | $0.02630 |
| Opus 5 | $0.00048 | $0.01315 |
| Sonnet 5 | $0.00019 | $0.00526 |
| Haiku 4.5 | $0.00010 | $0.00263 |
Grade A, and why
dynamic-pricing-ecommerce 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynamic Pricing for Ecommerce
Turn seller-approved economics and trusted signals into a bounded repricing system with explicit rules, approvals, monitoring, and a kill switch.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill dynamic-pricing-ecommerce -g
Capabilities
- Define SKU eligibility for automatic, approval-required, or manual repricing.
- Calculate contribution-safe floors and commercially justified ceilings.
- Select demand, inventory, competitor, season, and promotion signals without treating noisy observations as facts.
- Create deterministic rule matrices with bounded price steps, cooldowns, and conflict precedence.
- Simulate normal, downside, promotion-stack, stockout, and price-war scenarios.
- Design approval, audit-log, rollback, anomaly-breaker, and emergency-stop controls.
- Produce a staged platform implementation and measurement plan without enabling live changes.
Usage Examples
Design safe Amazon repricing rules for these 200 SKUs without starting a price war.
Create an inventory-aware dynamic pricing plan for my Shopify store.
Which products can be auto-repriced, and which should always require approval?
Audit these existing repricing rules for margin, promotion, and rollback risks.
Inputs and Collection
Use seller-supplied and inspected evidence first. Collect:
- SKU, variant, channel, marketplace, currency, tax treatment, fulfillment method, and lifecycle stage;
- current price, realized selling price, list or compare-at price, coupons, promotions, bundles, and discount-combination rules;
- COGS, inbound freight, duties, packaging, fulfillment, payment, referral, affiliate, ad, return, and other variable costs;
- target contribution dollars or margin, approved floor, approved ceiling, and brand or MAP constraints;
- inventory on hand, inbound stock, sell-through, age, weeks of cover, replenishment lead time, and stockout risk;
- timestamped traffic, orders, units, realized price, conversion where available, cancellations, and returns;
- comparable competitor offers with variant, pack size, seller, fulfillment, availability, delivered price, source, and capture time;
- current repricing tool, platform capabilities, rule cadence, account permissions, approvers, and business objective.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 249 lines · 96 tokens per session scan A c1e8262bcfd9
dynamic-pricing-ecommerce is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (900 stars, last pushed 15d ago), licensed MIT. It adds 96 tokens to every session and 2,630 once invoked, about $0.0005 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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