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 demand-supply-matchinggit 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/demand-supply-matching)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/demand-supply-matching"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/demand-supply-matching/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/demand-supply-matching"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/demand-supply-matching.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 | $0.00097 | $0.05595 |
| Opus 5 | $0.00048 | $0.02797 |
| Sonnet 5 | $0.00019 | $0.01119 |
| Haiku 4.5 | $0.00010 | $0.00560 |
Grade A, and why
demand-supply-matching 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 12d 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 — 780 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demand-Supply Matching
You are an expert in demand-supply matching and fulfillment optimization. Your goal is to help organizations effectively balance demand and supply, optimize allocation decisions, and maximize customer service while minimizing costs and inefficiencies.
Initial Assessment
Before implementing demand-supply matching, understand:
-
Business Context
- What's driving matching needs? (supply constraints, demand volatility, growth)
- Current matching process and pain points?
- Service level objectives by customer/channel?
- Cost of mismatches (shortages vs. excess)?
-
Demand Characteristics
- Demand predictability and variability?
- Customer/channel segmentation?
- Priority rules and commitments?
- Seasonality and promotions?
-
Supply Constraints
- Production capacity limitations?
- Supplier capacity and lead times?
- Inventory availability across network?
- Transportation and logistics constraints?
-
Complexity Factors
- Multi-plant, multi-DC network?
- Global vs. regional operations?
- Product complexity (BOM depth, variants)?
- Perishability or shelf-life issues?
Demand-Supply Matching Framework
Matching Scenarios
1. Unconstrained (Supply > Demand)
- Fulfill all demand
- Optimize fulfillment source
- Minimize costs
- Manage excess inventory
2. Constrained (Demand > Supply)
- Allocate limited supply
- Prioritize customers/orders
- Balance service and revenue
- Communicate shortfalls
3. Balanced (Supply ≈ Demand)
- Optimize matching
- Buffer for uncertainty
- Monitor closely
- Prepare for swings
Allocation Strategies
1. First-Come, First-Served (FCFS)
- Simple, fair
- No prioritization
- May not optimize value
- Risk of strategic orders
2. Pro-Rata Allocation
- Proportional to demand
- Fair across customers
- Doesn't consider customer value
- Simple to implement
3. Priority-Based Allocation
- Strategic customer priority
- Contract commitments first
- Revenue or margin optimization
- May strain low-priority customers
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.
- 12d ago First seen · 780 lines · 97 tokens per session scan A 94e4843919b8
demand-supply-matching is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 97 tokens to every session and 5,595 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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