automotive-quantum

automotive-quantum is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 185 tokens per session (10,692 once invoked), scanned A, original, MIT.

A guide to using quantum-computing methods to model battery chemistry and other automotive science problems.

In plain words
What is it for?
Use it for battery research, molecular energy calculations, materials modelling, and vehicle-related optimisation studies.
Why use it?
It explains how quantum calculations can be combined with traditional computing for difficult molecular and optimisation tasks.

Skill for Claude CodeCodex

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

Good fit Use it for battery research, molecular energy calculations, materials modelling, and vehicle-related optimisation studies.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-quantum"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-quantum.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 185 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,692 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 $0.00185 $0.10692
Opus 5 $0.00093 $0.05346
Sonnet 5 $0.00037 $0.02138
Haiku 4.5 $0.00018 $0.01069

Measured 9d ago against content hash 89d28291b00e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automotive-quantum 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 9d 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-quantum/SKILL.md · 1,186 lines

How it starts

The opening of the file, as written. The whole thing — 1,186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automotive Quantum Computing

8 skill files covering quantum-computing domain for automotive software engineering.

Applicable Standards

  • ASTM E3076 - Standard Guide for ICME Verification and Validation
  • Battery500 Consortium Performance Targets
  • CVRP Benchmark Instances (Augerat, Christofides sets)
  • ECE R94 - Frontal Impact Protection
  • ECE R95 - Side Impact Protection
  • EDIFACT DELFOR/DELJIT - Delivery Forecast and JIT Messages
  • ETSI QKD Standards (GS QKD 004, GS QKD 014)
  • ETSI TS 103 097 - Security Headers and Certificates for ITS
  • Euro NCAP Assessment Protocol - Adult Occupant Protection
  • FAIR Data Principles for Materials Science
  • FMVSS 208 - Occupant Crash Protection
  • GAIA-X Automotive Data Space Standards
  • HCM - Highway Capacity Manual (TRB)
  • IATF 16949 - Automotive Quality Management System
  • ICME - Integrated Computational Materials Engineering Framework
  • IEC 62660 - Secondary Lithium-Ion Cells for Propulsion
  • IEEE 1609 - WAVE Protocol Stack for V2X
  • IEEE 1609.2 - Security Services for V2X Communications
  • IEEE 2030.1.1 - DC Quick Charging for EVs
  • IEEE 2846 - Assumptions for Models in Safety-Related AD
  • ISO 10303-235 - Engineering Analysis (STEP-based material data exchange)
  • ISO 14813 - Intelligent Transport Systems Architecture
  • ISO 17025 - Testing and Calibration Laboratories (simulation validation)
  • ISO 21448 - Safety of the Intended Functionality (SOTIF)
  • ISO 26262 - Functional Safety (structural integrity requirements)
  • ISO 26262 - Functional Safety for Road Vehicles
  • ISO 28000 - Security Management for Supply Chain
  • ISO/PAS 8800 - Safety and AI for Road Vehicles
  • MGI - Materials Genome Initiative Standards
  • MMOG/LE - Materials Management Operations Guideline
  • MUTCD - Manual on Uniform Traffic Control Devices
  • NEMA TS 2 - Traffic Controller Assemblies
  • NIST FIPS 203 - Module-Lattice-Based Key Encapsulation (ML-KEM)
  • NIST FIPS 204 - Module-Lattice-Based Digital Signature (ML-DSA)
  • NIST FIPS 205 - Stateless Hash-Based Digital Signature (SLH-DSA)
  • NTCIP 1202 - Object Definitions for Actuated Traffic Signal Controllers
  • PennyLane Chemistry Module Standards (Xanadu)
  • Qiskit Nature Module Standards (IBM Quantum)
  • SAE J2735 - V2X Message Set Dictionary (SPaT, MAP)
  • SAE J2868 - Finite Element Analysis Quality Assurance
  • SAE J2954 - Wireless Power Transfer for EVs
  • SAE J3016 - Levels of Driving Automation
  • TMS Integrated Computational Materials Engineering Guidelines
  • TSPLIB - Travelling Salesman Problem Library
  • UL 4600 - Standard for Safety for Evaluation of Autonomous Products
  • USABC Goals for Advanced Batteries for EVs
  • VDA 6.3 - Process Audit for Automotive Supply Chain
  • VRP-REP - Vehicle Routing Problem Repository

Read the full file on GitHub · 1,186 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. 9d ago First seen · 1,186 lines · 185 tokens per session scan A 89d28291b00e

Subscribe to this mod's changes

automotive-quantum is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 185 tokens to every session and 10,692 once invoked, about $0.0009 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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