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-materialsgit 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-materials)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-materials"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-materials/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-materials"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-materials.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 | $0.00114 | $0.28055 |
| Opus 5 | $0.00057 | $0.14028 |
| Sonnet 5 | $0.00023 | $0.05611 |
| Haiku 4.5 | $0.00011 | $0.02806 |
Grade A, and why
automotive-materials 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.
How it starts
The opening of the file, as written. The whole thing — 1,213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Advanced Materials
25 skill files covering advanced-materials domain for automotive software engineering.
Applicable Standards
- AEC-Q200 (passive component qualification)
- ASTM D standards
- IEEE 1451 (smart transducer interface)
- ISO 11452 (electromagnetic compatibility)
- ISO 15765 (CAN communication for energy management)
- ISO 16750
- ISO 2416 (suspension testing)
- ISO 26262 (functional safety for active safety devices)
- ISO 6469-3 (EV electrical safety)
- ISO 8608 (road profile classification)
- LV 124
- LV 124 (electrical environmental conditions)
- LV 124 (electrical loads and operating conditions)
- SAE J1455 (recommended practice for measuring SMA properties)
- SAE J1490 (ride and vibration data)
- SAE J2716 (TPMS performance requirements)
- SAE J2888 (TEG test procedures)
- USCAR-2
- USCAR-2 (performance requirements)
Use Cases
- Automotive product development and integration
- Supplier collaboration and qualification
- Testing and validation per industry standards
- Regulatory compliance and certification
- Cost optimization and design-for-manufacturing
- Adaptive suspension dampers (CDC Continuous Damping Control)
- Engine/transmission mount vibration isolation
- Seat suspension for commercial vehicles
- Steering damper for motorcycles and heavy trucks
- Crash energy absorbing structures
- Tire pressure sensor energy harvesting (TPMS self-powered)
- Suspension energy recovery systems
- Knock sensor and combustion monitoring
- Active vibration damping (NVH control)
- Haptic feedback actuators (HMI, steering wheel)
- Active aerodynamic surfaces (grille shutters, air dams, spoilers)
- Thermal management actuators (valve control, louver positioning)
- Adaptive headlight adjustment mechanisms
- Safety device deployment (pop-up hood, rollover protection)
- Haptic feedback systems in steering wheels and pedals
Topics Covered
Acoustic_Materials
- acoustic-materials
Adaptive Systems
- magneto-rheological-fluids
Adhesive_Technology
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.
- 12d ago First seen · 1,213 lines · 114 tokens per session scan A 95c6e5f91e97
automotive-materials is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 114 tokens to every session and 28,055 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
automotive-expert
Expert-level automotive systems, connected vehicles, fleet management, telematics, ADAS, and automotive software. Use when the user mentions connected car, fleet, telematics, ADAS, or vehicle, or when the task involves Automotive Systems, Technologies, Standards and Protocols, or Fleet Management.
robotics-expert
Develop production-ready robotic systems with autonomous navigation, sensor fusion, and intelligent control for real-world applications. Use when the user mentions ROS or ROS 2, autonomous navigation, SLAM, motion planning, sensor fusion, or robot control systems.
iso26262
ISO 26262 functional-safety expert that operates in two modes: (1) HARA / ASIL determination — enumerate hazardous events from item malfunctions × driving situations, rate Severity (S0–S3), Exposure (E0–E4), Controllability (C0–C3), look up ASIL from ISO 26262-3:2018 Table 4, and produce a HARA report with Safety…
run-pre-purchase-inspection
Use when evaluating a used vehicle before purchase to identify hidden defects, safety issues, and negotiate from an informed position.
design-ev-charging-setup
Use when planning or installing home EV charging equipment to select the right charger level, electrical requirements, and installation approach.
diagnose-battery-charging-problem
Use when a vehicle has starting problems, battery warning lights, or electrical symptoms — systematically testing battery condition, alternator output, and charging circuit integrity to identify the root cause before replacing components.