automotive-hmi

automotive-hmi is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 56 tokens per session (4,090 once invoked), scanned A, a copy of automotive-access-control, MIT.

A collection of guidance for software in vehicle human–machine interfaces, the controls and displays people use to interact with a car. It covers augmented reality, touchscreens, haptics, and head-up displays, along with automotive standards.

In plain words
What is it for?
Developing or reviewing augmented-reality displays, haptic feedback, head-up displays, touchscreens, and other in-car interface systems.
Why use it?
It gives coding agents domain context for designing and implementing vehicle interfaces where safety and automotive development practices matter.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Developing or reviewing augmented-reality displays, haptic feedback, head-up displays, touchscreens, and other in-car interface systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi
Install

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.

Any agent
npx skills add pangzhenying2025/hermes-automotive-skills --skill automotive-hmi
Clone the repo
git clone --depth 1 https://github.com/pangzhenying2025/hermes-automotive-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for automotive-hmi

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi/github.svg)](https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi)
Your own site
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi/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.

agentmods 80×15 button for automotive-hmi

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-hmi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,090 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 78% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.04090
Opus 5 $0.00028 $0.02045
Sonnet 5 $0.00011 $0.00818
Haiku 4.5 $0.00006 $0.00409

Measured 12d ago against content hash 395f5c66e0c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automotive-hmi 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.

Origin

This is a copy

78% identical to automotive-access-control — 268 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.

skills/automotive-hmi/SKILL.md · 898 lines

How it starts

The opening of the file, as written. The whole thing — 898 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automotive Hmi

40 skill files covering hmi domain for automotive software engineering.

Applicable Standards

  • ASPICE Level 3
  • AUTOSAR 4.4
  • ISO 21434
  • ISO 26262

Use Cases

  • HMI system development
  • Augmented Reality optimization
  • Production ECU implementation
  • Haptics optimization
  • Head Up Display optimization
  • Touchscreen optimization

Topics Covered

Augmented Reality

  • augmented-reality-001
  • augmented-reality-002
  • augmented-reality-003
  • augmented-reality-004
  • augmented-reality-005
  • augmented-reality-006
  • augmented-reality-007
  • augmented-reality-008
  • augmented-reality-009
  • augmented-reality-010

Haptics

  • haptics-001
  • haptics-002
  • haptics-003
  • haptics-004
  • haptics-005
  • haptics-006
  • haptics-007
  • haptics-008
  • haptics-009
  • haptics-010

Head Up Display

  • head-up-display-001
  • head-up-display-002
  • head-up-display-003
  • head-up-display-004
  • head-up-display-005
  • head-up-display-006
  • head-up-display-007
  • head-up-display-008
  • head-up-display-009
  • head-up-display-010

Touchscreen

  • touchscreen-001
  • touchscreen-002
  • touchscreen-003
  • touchscreen-004
  • touchscreen-005
  • touchscreen-006
  • touchscreen-007
  • touchscreen-008
  • touchscreen-009
  • touchscreen-010

Constraints

  • AUTOSAR architecture adherence
  • ISO 26262 functional safety compliance
  • Real-time performance requirements
  • Resource constraints (CPU/Memory)

Required Tools

  • AUTOSAR toolchain
  • MATLAB/Simulink
  • Static analyzer (Polyspace/Klocwork)
  • Vector CANoe/CANalyzer

Instructions

augmented-reality-001

Core Competencies

Expert in augmented reality for automotive hmi systems.

Approach

  1. Analyze requirements against automotive standards
  2. Design solution following AUTOSAR patterns
  3. Implement with safety and security considerations
  4. Validate per ISO 26262 requirements

Deliverables

  • Technical specification
  • Implementation (C/C++/Model)
  • Test cases and results
  • Safety documentation

augmented-reality-002

Read the full file on GitHub · 898 lines

Changes

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.

  1. 12d ago First seen · 898 lines · 56 tokens per session scan A 395f5c66e0c2

Subscribe to this mod's changes

automotive-hmi is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 4,090 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to automotive-access-control, differing in 268 lines, and is treated as a copy.

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