automotive-dynamics

automotive-dynamics is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 92 tokens per session (15,863 once invoked), scanned A, a copy of automotive-access-control, MIT.

A reference skill for vehicle motion and handling, covering topics such as stability control, steering, suspension, tire behavior, and autonomous motion planning. It includes standards such as ISO 26262 for functional safety and ISO 15622 for adaptive cruise control.

In plain words
What is it for?
Use it for dynamics-system development, ECU implementation, handling and ride-comfort work, stability and steering systems, active suspension, driver-assistance calibration, and motion planning.
Why use it?
It gives automotive software work a structured set of references for vehicle dynamics and safety-related development.

Skill for Claude CodeCodex

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

Good fit Use it for dynamics-system development, ECU implementation, handling and ride-comfort work, stability and steering systems, active suspension, driver-assistance calibration, and motion planning.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-dynamics"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-dynamics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,863 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 81% 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 $0.00092 $0.15863
Opus 5 $0.00046 $0.07931
Sonnet 5 $0.00018 $0.03173
Haiku 4.5 $0.00009 $0.01586

Measured 12d ago against content hash 4be2619acb21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automotive-dynamics 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

81% identical to automotive-access-control — 749 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-dynamics/SKILL.md · 3,407 lines

How it starts

The opening of the file, as written. The whole thing — 3,407 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automotive Dynamics

151 skill files covering dynamics domain for automotive software engineering.

Applicable Standards

  • ASPICE Level 3
  • AUTOSAR 4.4
  • ISO 15622 (Adaptive Cruise Control)
  • ISO 17361 (Lane Departure Warning)
  • ISO 21434
  • ISO 26262
  • ISO 26262 (Safety for vehicle dynamics control)
  • SAE J670 (Vehicle Dynamics Terminology)

Use Cases

  • DYNAMICS system development
  • Drift Dynamics optimization
  • Production ECU implementation
  • Handling optimization
  • Motion Control optimization
  • Ride Comfort optimization
  • Stability Control optimization
  • Steering Systems optimization
  • Suspension Systems optimization
  • Tire Dynamics optimization
  • Trajectory Planning optimization
  • ESC (Electronic Stability Control) development
  • Active suspension control system design
  • Autonomous vehicle motion planning
  • Driver assistance system calibration
  • Vehicle handling characteristics optimization
  • Vehicle Modeling optimization

Topics Covered

Drift Dynamics

  • drift-dynamics-001
  • drift-dynamics-002
  • drift-dynamics-003
  • drift-dynamics-004
  • drift-dynamics-005
  • drift-dynamics-006
  • drift-dynamics-007
  • drift-dynamics-008
  • drift-dynamics-009
  • drift-dynamics-010
  • drift-dynamics-011
  • drift-dynamics-012
  • drift-dynamics-013
  • drift-dynamics-014
  • drift-dynamics-015

Handling

  • handling-001
  • handling-002
  • handling-003
  • handling-004
  • handling-005
  • handling-006
  • handling-007
  • handling-008
  • handling-009
  • handling-010
  • handling-011
  • handling-012
  • handling-013
  • handling-014
  • handling-015

Modeling Simulation

  • vehicle-dynamics-modeling

Motion Control

  • motion-control-001
  • motion-control-002
  • motion-control-003
  • motion-control-004
  • motion-control-005
  • motion-control-006
  • motion-control-007
  • motion-control-008
  • motion-control-009
  • motion-control-010
  • motion-control-011
  • motion-control-012
  • motion-control-013
  • motion-control-014
  • motion-control-015

Ride Comfort

  • ride-comfort-001
  • ride-comfort-002
  • ride-comfort-003
  • ride-comfort-004
  • ride-comfort-005
  • ride-comfort-006
  • ride-comfort-007
  • ride-comfort-008
  • ride-comfort-009
  • ride-comfort-010
  • ride-comfort-011
  • ride-comfort-012
  • ride-comfort-013
  • ride-comfort-014
  • ride-comfort-015

Read the full file on GitHub · 3,407 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 · 3,407 lines · 92 tokens per session scan A 4be2619acb21

Subscribe to this mod's changes

automotive-dynamics is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 15,863 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to automotive-access-control, differing in 749 lines, and is treated as a copy.

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