Agent skill · Audited from source

Ecommerce Ppc Strategy Planner

skill · nexscope-ai/eCommerce-SkillsMIT licenceAudited 19 Oct 2026 · source 3e6c611584c3

★ 1,192pushed 54 days ago
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 3e6c611
1,192repo stars · whole nexscope-ai/eCommerce-Skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 3e6c611584c3 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Cross-platform PPC strategy planner for ecommerce businesses. Analyzes your product and margins, recommends the right advertising platforms (Google Ads, Meta Ads, TikTok Ads), calculates ROAS targets, allocates budget…

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ModelsAtlas. “Ecommerce Ppc Strategy Planner (nexscope-ai/eCommerce-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/nexscope-ai/ecommerce-ppc-strategy-planner

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
  • Source foldernexscope-ai/eCommerce-Skills/ecommerce-ppc-strategy-plannerThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
  • Repository statusNot archivedLast push 54 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Cross-platform PPC strategy planner for ecommerce businesses. Analyzes your product and margins, recommends the right advertising platforms (Google Ads, Meta Ads, TikTok Ads), calculates ROAS targets, allocates budget…

---
name: ecommerce-ppc-strategy-planner
description: "Cross-platform PPC strategy planner for ecommerce businesses. Analyzes your product and margins, recommends the right advertising platforms (Google Ads, Meta Ads, TikTok Ads), calculates ROAS targets, allocates budget across channels, and generates platform-specific campaign briefs with ad copy and creative direction. Two modes: (A) Build — design a multi-platform ad strategy from scratch, (B) Optimize — audit existing cross-platform campaigns and reallocate budget. Works for Shopify, WooCommerce, standalone stores, and marketplace sellers expanding to external traffic. No API key required."
metadata: {"nexscope":{"emoji":"📊","category":"ecommerce"}}
---

# 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

```bash
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?
```

```
I have a Shopify store selling pet accessories. Best sellers are dog bandanas ($15) and cat toys ($12). $1,000/month to start. What's my ad strategy?
```

### Mode B — Optimize Existing

```
Running Google Shopping (ROAS 3.2x, $3,000/mo) and Facebook ($1,800/mo, ROAS 1.4x). Margin is 45%. Should I shift budget?
```

```
My TikTok ads get tons of views but barely convert. Google Shopping is profitable. Total budget $4,000/month. Help me optimize.
```

---

## How This Skill Collects Information

**Step 1: Extract from the prompt.** Parse product type, price, margins, budget, platforms mentioned, ROAS data, store type.

**Step 2: Identify gaps.** Compare against what's needed:

Mode A critical info:
| Info | Why It's Needed |
|------|----------------|
| Product price + cost/margin | Calculate break-even ROAS and Max CPA |
| Monthly ad budget | Allocate across platforms |
| **Buyer behavior type** | Determines which platform is primary (see below) |
| Existing website traffic / email list | Determines if retargeting is viable |

Mode B critical info:
| Info | Why It's Needed |
|------|----------------|
| Per-platform spend + ROAS/CPA | Audit each platform's performance |
| Profit margin | Calculate break-even ROAS |
| Campaign duration | New campaigns need 2-4 weeks before optimization |

**Step 3: One follow-up.** Ask only for missing critical items. Always include the buyer behavior question for Mode A:

```
Mode A example:
"Nice — handmade candles at $34 with $2,000/month budget. To plan your 
strategy, I need a few things:

  1. Your product cost per unit (to calculate break-even ROAS)
  2. How do customers typically find products like yours?
     a) They search for it (e.g., 'soy candles') — they know what they want
     b) They discover it visually — they see it and want it (lifestyle, fashion, decor)
     c) They need to see it in action — demo/video is what sells it
     d) Not sure — I'll analyze and recommend
  3. Do you have existing website traffic or an email list?
     (This affects whether retargeting is viable from day one)"

Mode B example:
"Got it — Google and Facebook running. To audit properly:
  1. Your product margin (or cost + price, I'll calculate)
  2. How long have these campaigns been running? (New campaigns 
     need 2-4 weeks before optimization)"
```

The buyer behavior answer directly determines platform selection:
- **a) Search** → Google Shopping / Search is primary
- **b) Visual** → Meta Ads (Facebook / Instagram) is primary
- **c) Demo** → TikTok Ads is primary
- **d) Not sure** → Infer from product type, mark as ⚠️ estimated

**Step 4: Use estimates when stuck.** Don't block on missing data — use category benchmarks, but:
- **Mark every estimate clearly** in the output with ⚠️ (e.g., "⚠️ Estimated: conversion rate 2.5% based on home decor category average")
- **Explain what better data would change** (e.g., "If you can share your actual Shopify conversion rate, I can recalculate the ROAS target and budget split more accurately")
- **List what to provide next time** at the end of the report for more precise results

---

## Key Concepts

### RO

Excerpt, first 6,002 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 3e6c611

Download folder ↗
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-ppc-strategy-planner -g
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -g

Commands as the repository documents them: shown, never run by us. Our verdict covers commit 3e6c611584c3 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 3e6c611584c3

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about Ecommerce Ppc Strategy Planner

What does the Ecommerce Ppc Strategy Planner skill do?
E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
Is Ecommerce Ppc Strategy Planner safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Ecommerce Ppc Strategy Planner access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (3e6c611584c3), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

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