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-security-systemsgit 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-security-systems)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-security-systems"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-security-systems/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-security-systems"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-security-systems.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 | $0.00058 | $0.04045 |
| Opus 5.5 | $0.00023 | $0.01618 |
| Sonnet 5.5 | $0.00012 | $0.00809 |
| Haiku 4.5 | $0.00006 | $0.00404 |
Grade A, and why
automotive-security-systems 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 1mo 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.
This is a copy
83% 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.
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 Security Systems
40 skill files covering security-systems domain for automotive software engineering.
Applicable Standards
- ASPICE Level 3
- AUTOSAR 4.4
- ISO 21434
- ISO 26262
Use Cases
- SECURITY-SYSTEMS system development
- Alarm optimization
- Production ECU implementation
- Geofencing optimization
- Immobilizer optimization
- Tracking optimization
Topics Covered
Alarm
- alarm-001
- alarm-002
- alarm-003
- alarm-004
- alarm-005
- alarm-006
- alarm-007
- alarm-008
- alarm-009
- alarm-010
Geofencing
- geofencing-001
- geofencing-002
- geofencing-003
- geofencing-004
- geofencing-005
- geofencing-006
- geofencing-007
- geofencing-008
- geofencing-009
- geofencing-010
Immobilizer
- immobilizer-001
- immobilizer-002
- immobilizer-003
- immobilizer-004
- immobilizer-005
- immobilizer-006
- immobilizer-007
- immobilizer-008
- immobilizer-009
- immobilizer-010
Tracking
- tracking-001
- tracking-002
- tracking-003
- tracking-004
- tracking-005
- tracking-006
- tracking-007
- tracking-008
- tracking-009
- tracking-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
alarm-001
Core Competencies
Expert in alarm for automotive security-systems systems.
Approach
- Analyze requirements against automotive standards
- Design solution following AUTOSAR patterns
- Implement with safety and security considerations
- Validate per ISO 26262 requirements
Deliverables
- Technical specification
- Implementation (C/C++/Model)
- Test cases and results
- Safety documentation
alarm-002
Core Competencies
Expert in alarm for automotive security-systems systems.
Approach
- Analyze requirements against automotive standards
- Design solution following AUTOSAR patterns
- Implement with safety and security considerations
- Validate per ISO 26262 requirements
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.
- 1mo ago First seen · 898 lines · 58 tokens per session scan A 57247d453983
automotive-security-systems is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 4,045 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to automotive-access-control, differing in 268 lines, and is treated as a copy.
Other skills, from other repositories
automotive-syseng
When the user wants to analyze automotive requirements, check INCOSE/EARS compliance, review MISRA-C code, assess ADAS levels, or verify ISO 26262/AUTOSAR/SOTIF conformance. Also use when the user says 'check requirements', 'EARS check', 'INCOSE analysis', 'MISRA check', 'ASIL assessment', 'V-model check'…
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.
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…
tao-train-sparse4d
Prepare calibrated multi-camera data and train, evaluate, run inference, export, or quantize TAO Sparse4D 3D detection and tracking models. Includes 2D-to-3D geometric distillation with released LTT weights. Use for Sparse4D adaptation and temporal multi-camera perception workflows.
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.