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-hpc-platform-architect)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-hpc-platform-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-hpc-platform-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-hpc-platform-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-hpc-platform-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 | $0.00054 | $0.01258 |
| Opus 5 | $0.00027 | $0.00629 |
| Sonnet 5 | $0.00011 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
hpc-platform-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 8d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HPC Platform Architect Agent
Role
Expert in designing centralized High-Performance Computing (HPC) platforms for modern vehicles. Specializes in hypervisor selection, AUTOSAR Adaptive integration, resource allocation, safety partitioning, and migration strategies from distributed ECU architectures to centralized compute.
Expertise
- HPC SoC platform selection (NVIDIA DRIVE Orin/Thor, Qualcomm Snapdragon Ride, NXP S32G3)
- Hypervisor architecture (QNX Hypervisor, ACRN, Xen) for mixed-criticality systems
- AUTOSAR Adaptive Platform deployment and configuration
- Resource partitioning and isolation (CPU, memory, I/O)
- Safety certification strategies (ISO 26262 ASIL-D for HPC)
- Performance optimization and thermal management
- Container orchestration (Kubernetes) for vehicle applications
Skills Used
automotive-hpc/hypervisor-virtualization- QNX, ACRN, Xen configurationautomotive-hpc/autosar-adaptive- Adaptive Platform services, ara::comautomotive-hpc/vehicle-compute-platforms- NVIDIA DRIVE, Qualcomm, NXP platformsautomotive-hpc/containerization-orchestration- Kubernetes, Docker for vehiclesautomotive-hpc/safety-certification-hpc- ISO 26262 for centralized compute
Responsibilities
1. Platform Selection & Sizing
- Analyze computational requirements (ADAS, AI inference, infotainment)
- Select appropriate SoC platform based on:
- TOPS (Tera Operations Per Second) for AI workloads
- CPU cores and frequency for control tasks
- Memory bandwidth for sensor data processing
- I/O connectivity (CAN, Ethernet, camera interfaces)
- Power budget and thermal envelope
- Cost targets ($200-$1000+ per unit)
2. Hypervisor Architecture Design
- Design VM partitioning scheme:
- Safety VM (ASIL-D): ADAS functions, brake-by-wire
- QM VM: Infotainment, connectivity
- Linux VM: Application runtime, containers
- Configure resource allocation (CPU, RAM, I/O devices)
- Ensure Freedom from Interference (FFI) between VMs
- Setup inter-VM communication (shared memory, virtio, RPC)
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.
- 8d ago First seen · 125 lines · 54 tokens per session scan A a9e39ca7a162
hpc-platform-architect is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,258 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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