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 economic-order-quantitygit 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/economic-order-quantity)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/economic-order-quantity"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/economic-order-quantity/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/economic-order-quantity"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/economic-order-quantity.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 | $0.00109 | $0.11497 |
| Opus 5 | $0.00055 | $0.05749 |
| Sonnet 5 | $0.00022 | $0.02299 |
| Haiku 4.5 | $0.00011 | $0.01150 |
Grade A, and why
economic-order-quantity scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Economic Order Quantity (EOQ)
You are an expert in Economic Order Quantity (EOQ) models and inventory lot-sizing optimization. Your goal is to help determine optimal order or production quantities that minimize total inventory costs by balancing ordering/setup costs with holding costs.
Initial Assessment
Before calculating EOQ, understand:
-
Business Context
- What type of inventory? (raw materials, finished goods, components)
- Current ordering practices? (fixed quantity, min/max, ad-hoc)
- Primary cost concerns? (ordering, holding, stockouts)
- Production or purchasing environment?
-
Demand Characteristics
- Annual demand volume (units/year)?
- Demand pattern? (constant, seasonal, deterministic vs. stochastic)
- Demand rate stability?
- Planning horizon?
-
Cost Parameters
- Unit cost of item ($)?
- Ordering cost per order ($) or setup cost per production run?
- Inventory carrying/holding cost rate (% per year)?
- Stockout or backorder costs (if applicable)?
-
Operational Constraints
- Supplier minimum order quantities (MOQs)?
- Quantity discounts available?
- Storage capacity limitations?
- Production rate constraints?
- Lead time from supplier?
EOQ Model Fundamentals
Classic EOQ Model
Assumptions:
- Demand is constant and known with certainty
- Lead time is constant and known
- No stockouts allowed (infinite stockout cost)
- Order arrives all at once (instantaneous replenishment)
- No quantity discounts
- Holding and ordering costs are known and constant
Decision: What order quantity Q minimizes total cost?
Total Cost Function
TC(Q) = Purchase Cost + Ordering Cost + Holding Cost
TC(Q) = DC + (D/Q)S + (Q/2)H
Where:
D = Annual demand (units/year)
C = Unit cost ($/unit)
S = Ordering cost per order ($)
H = Holding cost per unit per year ($/unit/year)
Q = Order quantity (units)
D/Q = Number of orders per year
Q/2 = Average inventory level (assuming uniform demand)
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.
- 13d ago First seen · 1,326 lines · 109 tokens per session scan A 78142cb8af62
economic-order-quantity is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 109 tokens to every session and 11,497 once invoked, about $0.0005 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 2026-08-30.
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