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-cloudgit 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-cloud)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-cloud"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-cloud/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-cloud"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-cloud.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 | $0.00053 | $0.12292 |
| Opus 5.5 | $0.00021 | $0.04917 |
| Sonnet 5.5 | $0.00011 | $0.02458 |
| Haiku 4.5 | $0.00005 | $0.01229 |
Grade A, and why
automotive-cloud 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 1mo 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.
This is a copy
86% identical to automotive-access-control — 536 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 2,724 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Cloud
126 skill files covering cloud domain for automotive software engineering.
Applicable Standards
- ASPICE Level 3
- AUTOSAR 4.4
- ISO 21434
- ISO 26262
Use Cases
- CLOUD system development
- Big Data optimization
- Production ECU implementation
- Cloud Connectivity optimization
- Cloud Services optimization
- Data Analytics optimization
- Edge Computing optimization
- Fleet Management optimization
- Machine Learning Ops optimization
- Predictive Analytics optimization
- Remote Monitoring optimization
Topics Covered
Big Data
- big-data-001
- big-data-002
- big-data-003
- big-data-004
- big-data-005
- big-data-006
- big-data-007
- big-data-008
- big-data-009
- big-data-010
- big-data-011
- big-data-012
- big-data-013
- big-data-014
Cloud Connectivity
- cloud-connectivity-001
- cloud-connectivity-002
- cloud-connectivity-003
- cloud-connectivity-004
- cloud-connectivity-005
- cloud-connectivity-006
- cloud-connectivity-007
- cloud-connectivity-008
- cloud-connectivity-009
- cloud-connectivity-010
- cloud-connectivity-011
- cloud-connectivity-012
- cloud-connectivity-013
- cloud-connectivity-014
Cloud Services
- cloud-services-001
- cloud-services-002
- cloud-services-003
- cloud-services-004
- cloud-services-005
- cloud-services-006
- cloud-services-007
- cloud-services-008
- cloud-services-009
- cloud-services-010
- cloud-services-011
- cloud-services-012
- cloud-services-013
- cloud-services-014
Data Analytics
- data-analytics-001
- data-analytics-002
- data-analytics-003
- data-analytics-004
- data-analytics-005
- data-analytics-006
- data-analytics-007
- data-analytics-008
- data-analytics-009
- data-analytics-010
- data-analytics-011
- data-analytics-012
- data-analytics-013
- data-analytics-014
Edge Computing
- edge-computing-001
- edge-computing-002
- edge-computing-003
- edge-computing-004
- edge-computing-005
- edge-computing-006
- edge-computing-007
- edge-computing-008
- edge-computing-009
- edge-computing-010
- edge-computing-011
- edge-computing-012
- edge-computing-013
- edge-computing-014
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.
- 1mo ago First seen · 2,724 lines · 53 tokens per session scan A 31e458f10b80
automotive-cloud is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 12,292 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to automotive-access-control, differing in 536 lines, and is treated as a copy.
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