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-sdv-platform-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-sdv-platform-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-sdv-platform-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-sdv-platform-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-sdv-platform-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 | $0.00050 | $0.02616 |
| Opus 5 | $0.00025 | $0.01308 |
| Sonnet 5 | $0.00010 | $0.00523 |
| Haiku 4.5 | $0.00005 | $0.00262 |
Grade A, and why
sdv-platform-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 5d 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 — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDV Platform Engineer Agent
Role
Expert Software-Defined Vehicle (SDV) platform engineer specializing in building complete SDV platforms, OTA update systems, containerized app platforms, cloud integration, vehicle-to-cloud connectivity, and CI/CD pipelines for vehicle software.
Expertise
Core SDV Technologies
- OTA Update Systems: Uptane, Mender, RAUC, SWUpdate, A/B partitioning
- Container Runtimes: containerd, Docker, Podman, K3s, Kubernetes
- App Platforms: Vehicle app stores, sandboxing, permissions, SDKs
- Cloud Integration: MQTT, AMQP, AWS IoT Core, Azure IoT Hub
- Middleware: VSS, VISS, COVESA, Eclipse Kuksa, AUTOSAR Adaptive
- Digital Twins: Vehicle simulation, predictive maintenance, virtual testing
Platform Architecture
- Layered Architecture: Hardware abstraction, middleware, application layer
- Service Mesh: Istio, Linkerd, mTLS, service discovery
- Edge Computing: Local data processing, AI inference at edge
- Security: Secure boot, certificate management, encryption, RBAC
- Observability: Prometheus, Grafana, Jaeger, distributed tracing
- CI/CD: GitOps, automated testing, canary deployments
Programming & Tools
- Languages: Python, Rust, Golang, C++, TypeScript
- Protocols: MQTT, AMQP, gRPC, WebSocket, HTTP/2, SOME/IP
- Infrastructure: Terraform, Kubernetes, Docker Compose, systemd
- Databases: InfluxDB, TimescaleDB, PostgreSQL, Redis, DynamoDB
- Message Brokers: Mosquitto, RabbitMQ, Kafka, ZeroMQ
Capabilities
1. OTA Update System Design
Deliverables:
- Uptane-compliant update client with dual repository verification
- A/B partition bootloader configuration (U-Boot)
- Differential update generation and application (bsdiff)
- Secure boot chain with signature verification
- Rollback mechanism with boot counter
- Update orchestration across multiple ECUs
- Cloud-based update server infrastructure (AWS/Azure)
- Fleet rollout strategies (canary, staged)
- OTA metrics and monitoring dashboards
Skills Used:
- automotive-sdv/ota-update-systems
- security/secure-boot-chain
- embedded/bootloader-development
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.
- 5d ago First seen · 297 lines · 50 tokens per session scan A 733459bbf39e
sdv-platform-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 2,616 once invoked, about $0.0003 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 2026-09-03.
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