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 pangzhenying2025/hermes-automotive-skills --skill automotive-middlewaregit clone --depth 1 https://github.com/pangzhenying2025/hermes-automotive-skillsWrote 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/pangzhenying2025/hermes-automotive-skills/automotive-middleware)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-middleware"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-middleware/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/pangzhenying2025/hermes-automotive-skills/automotive-middleware"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-middleware.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 | $0.00098 | $0.18374 |
| Opus 5 | $0.00049 | $0.09187 |
| Sonnet 5 | $0.00020 | $0.03675 |
| Haiku 4.5 | $0.00010 | $0.01837 |
Grade A, and why
automotive-middleware 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 12d 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 — 2,533 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Middleware
6 skill files covering middleware domain for automotive software engineering.
Applicable Standards
- AMQP 1.0 OASIS Standard
- AUTOSAR Adaptive (comparison)
- AUTOSAR Adaptive Platform
- AWS IoT Core best practices
- Apache Qpid Proton
- AutomationML for data modeling
- Azure IoT Hub protocols
- Azure Service Bus protocols
- DDS 1.4 Specification
- DDS Security 1.1
- DDS-RTPS 2.5
- DTLS 1.2 (Security)
- GDPR compliance for telemetry data
- IEC 62541 (OPC UA Standard)
- ISO 21434 (Cybersecurity)
- ISO 26262 (Functional Safety for ADAS)
- ISO 26262 (Functional Safety)
- ISO 26262 (when interfacing with vehicle systems)
- MQTT 5.0 (comparison context)
- MQTT 5.0 Specification
- MQTT-OPC UA Gateway (Sparkplug B)
- RFC 7252 (CoAP)
- RFC 7959 (CoAP Block-Wise Transfer)
- RFC 8132 (CoAP PATCH/FETCH)
- RFC 8323 (CoAP over TCP/TLS/WebSockets)
- ROS 2 Design Principles
- RTPS 2.5 Protocol
- TISAX (Trusted Information Security Assessment)
Use Cases
- Factory-to-vehicle data exchange
- Manufacturing execution system (MES) integration
- Order-to-delivery workflow orchestration
- Parts inventory and supply chain messaging
- Quality assurance data pipelines
- Dealer network communication
- Low-power ECU communication
- Battery monitoring telemetry (minimal overhead)
- Wireless sensor networks in vehicle
- Tire pressure monitoring systems (TPMS)
- V2X communication over 6LoWPAN
- Edge device telemetry with cellular IoT (NB-IoT, LTE-M)
- ADAS sensor data distribution with deterministic latency
- V2X communication with QoS guarantees
- Real-time ECU-to-ECU communication
- Safety-critical data exchange (ISO 26262 ASIL-D)
- Multi-domain vehicle networking
- Edge computing data streams
- Vehicle-to-Cloud telemetry streaming
- Remote diagnostics and OTA updates
Topics Covered
Enterprise Messaging
- amqp-middleware
Industrial Integration
- opcua-middleware
Iot Constrained
- coap-middleware
Iot Telemetry
- mqtt-middleware
Real Time Pub Sub
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.
- 12d ago First seen · 2,533 lines · 98 tokens per session scan A eb2cb63aecab
automotive-middleware is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 18,374 once invoked, about $0.0005 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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