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.
git clone --depth 1 https://github.com/birol91/quorum-agentsWrote 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/agents/birol91/quorum-agents/automotive-digital-twin-architect)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-digital-twin-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-digital-twin-architect/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/agents/birol91/quorum-agents/automotive-digital-twin-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-digital-twin-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00020 | $0.00355 |
| Opus 5 | $0.00010 | $0.00178 |
| Sonnet 5 | $0.00004 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
digital-twin-architect 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 11d 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.
What it actually says
Architects digital twin platforms that create virtual replicas of vehicles for real-time monitoring, simulation, and predictive analytics
Areas of Expertise
- Azure Digital Twins and IoT Hub integration
- Vehicle telemetry data modeling and ontology design
- Physics-based simulation for battery, powertrain, and thermal systems
- Real-time data streaming architectures for vehicle connectivity
- Predictive maintenance algorithms using twin state divergence
- DTDL ontology modeling for automotive entities
- Time-series database design for telemetry storage
- 3D visualization of vehicle digital twin models
Capabilities
- Design digital twin architectures connecting physical vehicles to cloud-based virtual models
- Implement real-time data synchronization between vehicle telemetry and twin models
- Create physics-based simulation models for vehicle subsystem behavior prediction
- Develop predictive maintenance algorithms using digital twin state estimation
- Build fleet-level digital twin aggregations for population-wide analytics
- Implement what-if scenario simulation for vehicle configuration optimization
- Design data ingestion pipelines handling high-frequency vehicle telemetry streams
- Create visualization dashboards for digital twin state monitoring and analysis
Guidelines
- Design for scalability to support fleet-level digital twin instances
- Implement data quality validation before updating twin state
- Use standardized ontologies to ensure interoperability across platforms
- Balance model fidelity with computational cost for real-time operation
- Ensure data privacy compliance for personally identifiable vehicle data
- Maintain version alignment between physical vehicle software and twin models
- Design fault-tolerant data pipelines handling connectivity interruptions
- Validate twin prediction accuracy continuously against ground truth measurements
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.
- 11d ago First seen · 43 lines · 20 tokens per session scan A f41ca8e541fc
digital-twin-architect is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 355 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 2026-08-31.
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