Agent skill · Audited from source

Profit Margin Calculator Amazon

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: Amazon profit margin calculator for sellers. Calculate cost breakdowns, profit margins, break-even points, and get pricing recommendations. Supports single product analysis and batch calculations. Input product cost,…

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Cite this page

ModelsAtlas. “Profit Margin Calculator Amazon (nexscope-ai/eCommerce-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/nexscope-ai/profit-margin-calculator-amazon

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 codePASS0
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/profit-margin-calculator/profit-margin-calculator-amazonThe 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: Amazon profit margin calculator for sellers. Calculate cost breakdowns, profit margins, break-even points, and get pricing recommendations. Supports single product analysis and batch calculations. Input product cost,…

---
name: profit-margin-calculator-amazon
description: "Amazon profit margin calculator for sellers. Calculate cost breakdowns, profit margins, break-even points, and get pricing recommendations. Supports single product analysis and batch calculations. Input product cost, shipping, FBA fees, and get instant profitability analysis. No API key required. Use when: (1) evaluating new product profitability before sourcing, (2) diagnosing existing product margins, (3) adjusting pricing strategy, (4) analyzing multiple SKUs at once."
metadata: {"nexscope":{"emoji":"💰","category":"ecommerce"}}
---

# Profit Margin Calculator — Amazon 💰

Calculate product profitability for Amazon FBA sellers — cost breakdowns, profit margins, break-even analysis, and pricing recommendations. No API key required.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill profit-margin-calculator-amazon -g
```

## Use Cases

| Scenario | What You'll Get |
|----------|-----------------|
| **New product evaluation** | Profitability forecast before sourcing |
| **Existing product diagnosis** | Margin analysis with cost breakdown |
| **Pricing adjustment** | Recommended prices for target margins |
| **Batch SKU analysis** | Multi-product comparison table |

## Usage Examples

### Single Product Analysis

```
Calculate profit for my Amazon product:
- Selling price: $29.99
- Product cost: $6
- Shipping to FBA: $1.50
- FBA fulfillment fee: $5.50
- FBA storage: $0.30/month
- Ad spend: 10% of sales
- Category: Kitchen
```

### Quick Analysis

```
Is this product profitable?
Price $19.99, cost $5, FBA fee $4.50, shipping $1
```

### Batch Analysis

```
Analyze these SKUs:
A001, Yoga Mat, $29.99, cost $6, shipping $1.5, FBA $5.5
A002, Resistance Bands, $19.99, cost $3, shipping $0.8, FBA $4
A003, Foam Roller, $24.99, cost $8, shipping $2, FBA $6
```

---

## Input Parameters

### Required

| Parameter | Description | Example |
|-----------|-------------|---------|
| `selling_price` | Amazon listing price | $29.99 |
| `product_cost` | FOB/sourcing cost per unit | $6.00 |
| `fba_fee` | FBA fulfillment fee | $5.50 |

### Recommended

| Parameter | Description | Default |
|-----------|-------------|---------|
| `shipping_cost` | Inbound shipping per unit | $0 |
| `storage_fee` | Monthly FBA storage per unit | $0.30 |
| `ad_ratio` | PPC spend as % of sales | 10% |
| `category` | Product category for referral fee | default (15%) |

### Optional

| Parameter | Description | Default |
|-----------|-------------|---------|
| `return_rate` | Expected return rate | 3% |
| `other_fees` | Packaging, labels, etc. | $0 |

---

## Cost Components

| Cost Item | Description | Calculation |
|-----------|-------------|-------------|
| **Product Cost** | FOB purchase price | User input |
| **Inbound Shipping** | Sea/air freight to FBA | User input |
| **FBA Fulfillment** | Amazon pick, pack, ship | User input |
| **FBA Storage** | Monthly warehouse fee | User input |
| **Referral Fee** | Amazon commission (8-20%) | Auto × category rate |
| **Advertising** | PPC spend | Price × ad ratio |
| **Returns** | Return processing loss | Return rate × handling |
| **Other Fees** | Packaging, labels, prep | User input |

---

## Referral Fee Rates by Category

| Category | Rate |
|----------|------|
| Electronics / Computers | 8% |
| Camera / Photo | 8% |
| Automotive / Industrial | 12% |
| **Most Categories (default)** | **15%** |
| Clothing / Apparel | 17% |
| Jewelry | 20% |

---

## Output Format

### Cost Breakdown

```
Selling Price         $29.99   100.0%
───────────────────────────────────────
Product Cost          -$6.00    20.0%
Inbound Shipping      -$1.50     5.0%
FBA Fulfillment       -$5.50    18.3%
FBA Storage           -$0.30     1.0%
Referral Fee (15%)    -$4.50    15.0%
Advertising (10%)     -$3.00    10.0%
Returns (3%)          -$0.15     0.5%
Other Fees            -$0.50     1.7%
───────────────────────────────────────
Total Cost            $21.45    71.5%
Net Profit            $8.54     28.5%
```

### Break-Even Analysis

```
Break-even Price:     $20.50
Current Margin:       +46.3% above break-even
Safety Margin:        31.6%
```

### Pricing Recommendations

```
| Target Margin | Recommended Price | Profit/Unit |
|---------------|-------------------|-------------|
| 15%           | $23.10            | $3.47       |
| 20%           | $25.20            | $5.04       |
| 25%           | $27.72            | $6.93       |
| 30%           | $30.80            | $9.24       |
```

---

## Profitability Status

| Net Margin | Status | Recommendation |
|------------|--------|----------------|
| >20% | ✅ **Healthy** | Maintain current strategy |
| 5-20% | ⚠️ **Warning** | Optimize costs or raise price |
| 0-5% | 🔴 **Danger** | Needs adjustment |
| <0% | 💀 **Loss** | Stop or restructure |

---

## Batch Input Format

### CSV

```csv
sku,name,selling_price,product_cost,shipping_cost,fba_fee,storage_fee,ad_ratio,category
A001,Yoga Mat,29.99,6,1.5,5.5,0.3,0.1,sports
A002,Resistance Bands,19.99,3,0.8,4,0.2,0.12,sports
A003,Foam Roller,24.99,8,2,6,0.3,0.1,sports
```

### Natural Language

```
Batch calculate:
SKU A001: Yoga Mat, $29.99, cost $6, shipping $1.5, FBA $5.5
SKU A002: Bands, $19.99, cost $3, shipping $0.8, FBA $4
```

---

## Script Usage

```bash
# Default demo
python3 scripts/calculator.py

# Custom input
python3 scripts/calculator.py '{"selling_price": 29.99, "product_cost": 6, "fba_fee": 5.5}'

# Batch analysis
python3 scripts/calculator.py '[{"sku": "A001", ...}, {"sku": "A002", ...}]'
```

---

## Handling Incomplete Input

If user doesn't provide enough info, ask:

```
To calculate your profit margin, I need:

**Required:**
- Selling price
- Product cost (FOB)
- FBA fulfillment fee

**Recommended (more accurate):**
- Inbound shipping cost per unit
- FBA storage fee per unit/month
- Ad spend ratio (% of sales)
- Product category (for referral fee)

Example:
"Price $25, cost $5, FBA $4.50, shipping $1, ads 10%, cate

Excerpt, first 6,004 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 profit-margin-calculator-amazon -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

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Questions about Profit Margin Calculator Amazon

What does the Profit Margin Calculator Amazon 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 Profit Margin Calculator Amazon 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 Profit Margin Calculator Amazon 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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