supply-chain-optimization-amazon-lite

supply-chain-optimization-amazon-lite is a skill for Claude Code, Codex from nexscope-ai/eCommerce-Skills. It costs 27 tokens per session (849 once invoked), scanned A, original, MIT.

A conversation-based tool for finding supply-chain bottlenecks in an Amazon-selling business. It collects details about products, sourcing, logistics, and costs before suggesting ways to reduce expenses.

In plain words
What is it for?
It helps review sourcing, shipping, inventory, and fulfillment problems, then develop cost-reduction strategies and supply-chain decisions.
Why use it?
It helps sellers identify where money and time are being lost without needing an API connection or a complex data setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps review sourcing, shipping, inventory, and fulfillment problems, then develop cost-reduction strategies and supply-chain decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon
Install

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.

Any agent
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for supply-chain-optimization-amazon-lite

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon/github.svg)](https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon/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.

agentmods 80×15 button for supply-chain-optimization-amazon-lite

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/supply-chain-optimization-amazon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 849 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00849
Opus 5 $0.00014 $0.00425
Sonnet 5 $0.00005 $0.00170
Haiku 4.5 $0.00003 $0.00085

Measured 9d ago against content hash 5d0024dbcfe4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

supply-chain-optimization-amazon-lite 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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/calculator.py, scripts/report_doc.py, scripts/report_html.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

supply-chain-optimization/supply-chain-optimization-amazon/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supply Chain Optimization (Lite)

Supply chain bottleneck analysis tool - Conversation-based version

No API integration required. Collect data through guided conversation, automatically diagnose bottlenecks and output cost reduction strategies.

Use Cases

  • Amazon seller supply chain health check
  • Bottleneck identification and cost optimization
  • Supply chain decision support

Workflow

Step 1: Trigger Skill

User says:

Analyze my supply chain
Supply chain diagnosis
I want to optimize supply chain costs

Step 2: Business Profile Collection

Guide user to describe in natural language:

👋 Starting Supply Chain Analysis

Please describe your situation in a sentence or two, like:
"I sell kitchen products, 15 SKUs, $50K monthly sales, sourcing from Yiwu, sea freight to FBA, shipping costs seem high"

Or just tell me what problem you want to solve.

Identify and confirm:

  • Category
  • SKU count
  • Monthly revenue scale
  • Sourcing location
  • Logistics model
  • Main pain points

Step 3: Supply Chain Data Collection

Guide user to provide key data:

📊 I need some data to locate bottlenecks (rough numbers are fine)

**Sourcing**
• Product cost (FOB): $___/unit
• Supplier payment terms: ___ days
• Lead time: ___ days

**Logistics**
• Shipping cost per unit: $___
• Transit time: ___ days

**Sales**
• Average selling price: $___
• FBA fulfillment fee: $___/unit
• Monthly storage fee: $___/unit
• Ad spend ratio: ___%

**Inventory**
• Current inventory days: ___ days
• Long-term storage fees: Yes/No

Just reply in natural language.

Step 4: Bottleneck Diagnosis

Run calculation script:

python3 scripts/calculator.py '{"product_cost": 8, "supplier_payment_days": 0, ...}'

Output diagnosis report:

  • Key metrics table (with health status)
  • Cost structure breakdown
  • Top 3 bottlenecks

Step 5: Cost Reduction Strategies

For each bottleneck provide:

  • Problem description
  • Impact analysis
  • Specific recommendations
  • Action checklist

Read the full file on GitHub · 153 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. 9d ago First seen · 153 lines · 27 tokens per session scan A 5d0024dbcfe4

Subscribe to this mod's changes

supply-chain-optimization-amazon-lite is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 27 tokens to every session and 849 once invoked, about $0.0001 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 2026-09-03.

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