automotive-workflows

automotive-workflows is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 25 tokens per session (200 once invoked), scanned A, original, MIT.

A collection of 86 step-by-step engineering workflows for automotive development, written as YAML documents. The workflows cover areas such as driver assistance, AUTOSAR, batteries, cybersecurity, testing, manufacturing, and vehicle communication.

In plain words
What is it for?
Use it to document, adapt, or run processes for ECU development, safety and security compliance, testing, integration, calibration, production, and other automotive engineering tasks.
Why use it?
It gives teams repeatable process definitions for complex automotive work instead of leaving each project to invent its own sequence of steps.

Skill for Claude CodeCodex

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

Good fit Use it to document, adapt, or run processes for ECU development, safety and security compliance, testing, integration, calibration, production, and other automotive engineering tasks.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-workflows"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 200 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 original No closer match found 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 $0.00025 $0.00200
Opus 5 $0.00013 $0.00100
Sonnet 5 $0.00005 $0.00040
Haiku 4.5 $0.00003 $0.00020

Measured 8d ago against content hash 7dfd489b6f47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automotive-workflows 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 8d 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.

skills/automotive-workflows/SKILL.md · 42 lines

What it actually says

Automotive Development Workflows

86 workflow definitions across 26 domains.

Domains

  • adas
  • adas-development
  • autosar
  • battery
  • battery-development
  • body
  • calibration
  • certification
  • chassis
  • cloud
  • compliance
  • diagnostics
  • ecu-development
  • embedded
  • field-support
  • infotainment
  • integration
  • lifecycle
  • manufacturing
  • powertrain
  • production
  • safety-compliance
  • security
  • testing
  • tool-migration
  • v2x

Each workflow is a YAML document defining step-by-step engineering processes.

Files

What ships with it

60 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.

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. 8d ago First seen · 42 lines · 25 tokens per session scan A 7dfd489b6f47

Subscribe to this mod's changes

automotive-workflows is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 200 once invoked, about $0.0001 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 2026-09-03.

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