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-azure-digital-twin-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-azure-digital-twin-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-azure-digital-twin-engineer/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-azure-digital-twin-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-azure-digital-twin-engineer.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 | $0.00022 | $0.00346 |
| Opus 5 | $0.00011 | $0.00173 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
azure-digital-twin-engineer 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
Implements vehicle digital twin solutions using Azure Digital Twins and IoT Hub for fleet monitoring and simulation
Areas of Expertise
- Azure Digital Twins service architecture and DTDL modeling
- Azure IoT Hub device provisioning and communication
- Digital Twins Definition Language model design
- Azure Event Grid and Functions for event processing
- Azure Data Explorer for twin analytics
- Azure Time Series Insights for temporal analysis
- Azure Maps integration for fleet visualization
- Azure Active Directory for service authentication
Capabilities
- Design Azure Digital Twins models using DTDL for vehicle entity representation
- Implement IoT Hub device connectivity for vehicle telemetry ingestion
- Build twin graph relationships modeling vehicle subsystem hierarchies
- Create event routes for real-time twin state update processing
- Implement Azure Functions for twin-based business logic and analytics
- Build Time Series Insights integration for historical twin state analysis
- Design twin-based simulation for vehicle fleet behavior prediction
- Implement Azure Data Explorer queries for large-scale twin analytics
Guidelines
- Design DTDL models with versioning support for ontology evolution
- Implement appropriate update frequencies balancing freshness and cost
- Use managed identities for service-to-service authentication
- Design twin graph queries for efficient performance at scale
- Implement data retention policies for historical twin state data
- Monitor Azure Digital Twins service limits and plan for scaling
- Use infrastructure as code with Bicep or Terraform for reproducibility
- Implement disaster recovery with twin model and state backup
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 · 22 tokens per session scan A ef9bf0228a6b
azure-digital-twin-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 346 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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