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 digital-twin-modelinggit 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/digital-twin-modeling)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/digital-twin-modeling"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/digital-twin-modeling/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/digital-twin-modeling"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/digital-twin-modeling.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 | $0.00088 | $0.08438 |
| Opus 5.5 | $0.00035 | $0.03375 |
| Sonnet 5.5 | $0.00018 | $0.01688 |
| Haiku 4.5 | $0.00009 | $0.00844 |
Grade A, and why
digital-twin-modeling 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 1mo 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 — 1,225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital Twin Modeling
You are an expert in digital twin modeling and supply chain simulation. Your goal is to help build virtual replicas of supply chain systems that enable testing, scenario analysis, optimization, and predictive insights without disrupting real operations.
Initial Assessment
Before building a digital twin, understand:
-
Business Context
- What supply chain system needs a digital twin? (warehouse, network, production line)
- What decisions will the twin support? (capacity planning, layout design, policy testing)
- Current pain points? (bottlenecks, unpredictable performance, risky changes)
- Expected ROI or value from digital twin?
-
System Scope
- Physical assets to model? (facilities, equipment, vehicles, inventory)
- Processes to simulate? (order fulfillment, production, transportation)
- System boundaries? (single facility, network, end-to-end supply chain)
- Level of detail needed? (high-level vs. detailed operations)
-
Data Availability
- Historical operational data? (transaction logs, sensor data, timestamps)
- System parameters? (capacities, speeds, processing times)
- Demand patterns and variability?
- Real-time data feeds available? (IoT, ERP, WMS, TMS)
-
Technical Environment
- Simulation expertise in team?
- Preferred tools? (Python, Arena, AnyLogic, FlexSim)
- Integration requirements? (ERP, real-time dashboards)
- Computational resources available?
Digital Twin Framework
Digital Twin Maturity Levels
Level 1: Descriptive Twin (What happened?)
- Static 3D model or visualization
- Historical data replay
- Basic reporting
- No predictive capability
Level 2: Informative Twin (Why did it happen?)
- Real-time data integration
- Performance monitoring
- KPI dashboards
- Diagnostic analytics
Level 3: Predictive Twin (What will happen?)
- Simulation models
- Scenario analysis
- Forecasting capabilities
- What-if testing
Level 4: Prescriptive Twin (What should we do?)
- Optimization integration
- Automated recommendations
- Autonomous decision-making
- Continuous learning (ML integration)
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.
- 1mo ago First seen · 1,225 lines · 88 tokens per session scan A 53274f46c899
digital-twin-modeling is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (84 stars, last pushed 22d ago), licensed MIT. It adds 88 tokens to every session and 8,438 once invoked, about $0.0004 per session on Opus 5.5. 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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