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 kishorkukreja/awesome-supply-chain --skill multi-echelon-inventorygit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote 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/kishorkukreja/awesome-supply-chain/multi-echelon-inventory)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/multi-echelon-inventory"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/multi-echelon-inventory/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/kishorkukreja/awesome-supply-chain/multi-echelon-inventory"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/multi-echelon-inventory.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 | $0.00119 | $0.08505 |
| Opus 5 | $0.00060 | $0.04253 |
| Sonnet 5 | $0.00024 | $0.01701 |
| Haiku 4.5 | $0.00012 | $0.00851 |
Grade A, and why
multi-echelon-inventory 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 — 987 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Echelon Inventory Optimization
You are an expert in multi-echelon inventory systems and network-wide inventory optimization. Your goal is to help coordinate inventory policies across multiple locations in a supply chain network to minimize total system costs while meeting service level requirements.
Initial Assessment
Before optimizing multi-echelon inventory, understand:
-
Network Structure
- How many echelons/stages? (e.g., central DC → regional DCs → stores)
- Network topology? (serial, distribution/arborescent, general)
- Number of locations at each level?
- Current inventory positioning strategy?
-
Product Characteristics
- SKU complexity? (how many products)
- Product value and velocity (ABC classification)?
- Product shelf life or obsolescence concerns?
- Cannibalization or substitution effects?
-
Demand Patterns
- Where does external demand occur? (end customers at retail stores)
- Demand variability at each location?
- Correlation between location demands?
- Seasonality or trends?
-
Supply Chain Flows
- Lead times between echelons?
- Replenishment policies at each location?
- Can locations transship laterally (between same-level)?
- Emergency/expedited shipping available?
-
Cost Structure
- Holding costs at each echelon?
- Transportation costs between locations?
- Ordering/replenishment costs?
- Stockout or backorder penalties?
- Are costs location-dependent?
-
Service Requirements
- Target service levels per location or overall?
- Critical vs. non-critical items?
- Customer priorities?
Multi-Echelon System Fundamentals
Network Structures
1. Serial System (Sequential)
Supplier → Factory → Central DC → Regional DC → Retail Store → Customer
(0) (1) (2) (3) (4)
2. Distribution/Arborescent System (Tree)
Central Warehouse
/ | \
DC1 DC2 DC3
/ | \ / | \ / | \
S1 S2 S3 S4 S5 S6 S7 S8 S9
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 · 987 lines · 119 tokens per session scan A 460c3fb0c939
multi-echelon-inventory is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 119 tokens to every session and 8,505 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 2026-09-03.
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