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-examples-codegit 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-examples-code)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-examples-code"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-examples-code/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-examples-code"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-examples-code.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 | $0.00080 | $0.00725 |
| Opus 5 | $0.00040 | $0.00362 |
| Sonnet 5 | $0.00016 | $0.00145 |
| Haiku 4.5 | $0.00008 | $0.00072 |
Grade A, and why
automotive-examples-code 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Code Examples
Full production-ready code examples from the automotive-claude-code-agents repository.
Examples Index
| Example | Language | Description |
|---|---|---|
adas-perception/ |
Python | Camera-based object detection pipeline for ADAS |
ecu-bms/ |
C | Full BMS firmware with RTE, cell monitoring, SOC estimation |
battery-thermal/ |
- | Battery thermal modeling reference |
network-topologies/ |
Docker/YAML | Automotive Ethernet topologies with Docker Compose |
multi-region-deployment/ |
TF/K8s/SQL | Multi-region cloud deployment for connected vehicles |
automotive_protocols_demo.py |
Python | CAN/LIN/Ethernet protocol interaction demo |
File List
examples/adas-perception\config\pipeline_config.yamlexamples/adas-perception\src\camera\detector.pyexamples/adas-perception\src\main.pyexamples/adas-perception\tests\test_camera.pyexamples/automotive_protocols_demo.pyexamples/ecu-bms\requirements\bms-requirements.yamlexamples/ecu-bms\src\application\cell_monitor.cexamples/ecu-bms\src\application\cell_monitor.hexamples/ecu-bms\src\application\soc_estimator.cexamples/ecu-bms\src\application\soc_estimator.hexamples/ecu-bms\src\rte\Rte_BMS.cexamples/ecu-bms\src\rte\Rte_BMS.hexamples/ecu-bms\tests\unit\test_cell_monitor.cexamples/multi-region-deployment\database\setup-multi-region-replication.sqlexamples/multi-region-deployment\kubernetes\applications\vehicle-gateway-deployment.yamlexamples/multi-region-deployment\scripts\failover-to-region.shexamples/multi-region-deployment\terraform\global\main.tfexamples/multi-region-deployment\terraform\us-east-1\main.tfexamples/network-topologies\docker-compose.ymlexamples/network-topologies\setup.shexamples/network-topologies\test-virtual-network.pyexamples/qnx\complete_workflow.pyexamples/qnx-adaptive-platform\deployment\execution\adas_controller.jsonexamples/qnx-adaptive-platform\deployment\machine\machine_manifest.jsonexamples/qnx-adaptive-platform\runtime\ara_com\include\ara\com\skeleton.hexamples/qnx-adaptive-platform\runtime\ara_com\include\ara\com\types.h
What ships with it
47 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/adas-perception/config/pipeline_config.yaml 5.2 KB
- references/adas-perception/README.md 13 KB
- references/adas-perception/requirements.txt 791 B
- references/adas-perception/src/camera/detector.py 9.5 KB runs code
- references/adas-perception/src/main.py 9.5 KB runs code
- references/adas-perception/tests/test_camera.py 11 KB runs code
- references/automotive_protocols_demo.py 11 KB runs code
- references/battery-thermal/README.md 15 KB
- references/demos/README.md 5.7 KB
- references/ecu-bms/Makefile 6.2 KB
- references/ecu-bms/README.md 9.1 KB
- references/ecu-bms/requirements/bms-requirements.yaml 13 KB
- references/ecu-bms/src/application/cell_monitor.c 14 KB
- references/ecu-bms/src/application/cell_monitor.h 2.4 KB
- references/ecu-bms/src/application/soc_estimator.c 11 KB
- references/ecu-bms/src/application/soc_estimator.h 2.0 KB
- references/ecu-bms/src/rte/Rte_BMS.c 1.2 KB
- references/ecu-bms/src/rte/Rte_BMS.h 1.1 KB
- references/ecu-bms/tests/unit/test_cell_monitor.c 5.0 KB
- references/FILES_CREATED.md 10 KB
- references/multi-region-deployment/database/setup-multi-region-replication.sql 16 KB
- references/multi-region-deployment/IMPLEMENTATION_GUIDE.md 21 KB
- references/multi-region-deployment/kubernetes/applications/vehicle-gateway-deployment.yaml 8.0 KB
- references/multi-region-deployment/README.md 9.6 KB
- references/multi-region-deployment/scripts/failover-to-region.sh 13 KB runs code
- references/multi-region-deployment/terraform/global/main.tf 14 KB
- references/multi-region-deployment/terraform/us-east-1/main.tf 15 KB
- references/network-topologies/.gitignore 90 B
- references/network-topologies/docker-compose.yml 3.9 KB
- references/network-topologies/README.md 13 KB
- references/network-topologies/setup.sh 5.5 KB runs code
- references/network-topologies/test-virtual-network.py 9.7 KB runs code
- references/qnx-adaptive-platform/applications/adas_controller/src/main.cpp 13 KB
- references/qnx-adaptive-platform/benchmarks/ara_com_latency/src/latency_test.cpp 10 KB
- references/qnx-adaptive-platform/DELIVERABLES.md 14 KB
- references/qnx-adaptive-platform/deployment/execution/adas_controller.json 8.7 KB
- references/qnx-adaptive-platform/deployment/machine/machine_manifest.json 5.3 KB
- references/qnx-adaptive-platform/FILE_INDEX.md 15 KB
- references/qnx-adaptive-platform/README.md 12 KB
- references/qnx-adaptive-platform/runtime/ara_com/CMakeLists.txt 3.4 KB
- references/qnx-adaptive-platform/runtime/ara_com/include/ara/com/skeleton.h 7.5 KB
- references/qnx-adaptive-platform/runtime/ara_com/include/ara/com/types.h 4.2 KB
- references/qnx-adaptive-platform/runtime/ara_com/src/skeleton.cpp 13 KB
- references/qnx/complete_workflow.py 5.8 KB runs code
- references/README.md 9.6 KB
- references/tool-migration/canoe-to-savvycan/README.md 11 KB
- references/TUTORIAL_INDEX.md 12 KB
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 · 54 lines · 80 tokens per session scan A 81201e3c7eed
automotive-examples-code is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 725 once invoked, about $0.0004 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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