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-ppc-strategy-plannergit 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-ppc-strategy-planner)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ecommerce-ppc-strategy-planner"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-ppc-strategy-planner/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-ppc-strategy-planner"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ecommerce-ppc-strategy-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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]
- medium MCP Rug Pull · line 522 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 | $0.00122 | $0.05616 |
| Opus 5 | $0.00061 | $0.02808 |
| Sonnet 5 | $0.00024 | $0.01123 |
| Haiku 4.5 | $0.00012 | $0.00562 |
Grade A, and why
ecommerce-ppc-strategy-planner 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 — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-Commerce PPC Strategy Planner 📊
Plan your cross-platform advertising strategy: which platforms to use, how much to spend on each, and what campaigns to run. Generates actionable briefs for Google Ads, Meta Ads, and TikTok Ads — with ad copy and creative direction included.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-ppc-strategy-planner -g
Two Modes
| Mode | When to Use | Input | Output |
|---|---|---|---|
| A — Build | Starting ads for the first time | Product info + budget + margins | Platform recommendation + budget split + campaign briefs + ad copy |
| B — Optimize | Running ads but want better results | Per-platform ROAS/CPA data | Cross-platform audit + budget reallocation + optimization actions |
Capabilities
- ROAS financial framework: Calculate break-even ROAS, target ROAS, and max CPA from product margins — the foundation for all platform decisions
- Platform recommendation: Match your product type to the right ad channels (search-intent → Google, visual/impulse → Meta, demo/novelty → TikTok)
- Cross-platform budget allocation: Split budget across channels based on expected ROAS and funnel stage
- Google Ads brief: Shopping, Search, and Performance Max campaign structures with keyword direction
- Meta Ads brief: Audience targeting, ad set structure, and creative hooks for Facebook + Instagram
- TikTok Ads brief: Video hook concepts, Spark Ads strategy, and audience targeting
- Ad copy generation: Headlines, descriptions, and CTAs for each platform
- Creative brief: Image/video specs, style direction, hook angles (not actual image/video creation)
- Cross-platform audit: Compare ROAS/CPA across channels and identify where to shift budget
Usage Examples
Mode A — Build New Strategy
I sell handmade candles on Shopify. Price $34, cost $8. Monthly ad budget $2,000. Help me plan which platforms to advertise on.
I'm launching a fitness resistance band set, $29.99, 60% margin. $5,000/month budget. Where should I advertise and how much on each platform?
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 · 534 lines · 122 tokens per session scan A 97c82cf843b8
ecommerce-ppc-strategy-planner is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (908 stars, last pushed 15d ago), licensed MIT. It adds 122 tokens to every session and 5,616 once invoked, about $0.0006 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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