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 supply-chain-optimization-amazongit 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/supply-chain-optimization-amazon)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00849 |
| Opus 5 | $0.00014 | $0.00425 |
| Sonnet 5 | $0.00005 | $0.00170 |
| Haiku 4.5 | $0.00003 | $0.00085 |
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.
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 — 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
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.
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.
- 9d ago First seen · 153 lines · 27 tokens per session scan A 5d0024dbcfe4
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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