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-crash-avoidancegit 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-crash-avoidance)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-crash-avoidance"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-crash-avoidance/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-crash-avoidance"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-crash-avoidance.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 | $0.00063 | $0.03254 |
| Opus 5.5 | $0.00025 | $0.01302 |
| Sonnet 5.5 | $0.00013 | $0.00651 |
| Haiku 4.5 | $0.00006 | $0.00325 |
Grade A, and why
automotive-crash-avoidance 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.
How it starts
The opening of the file, as written. The whole thing — 684 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Crash Avoidance
30 skill files covering crash-avoidance domain for automotive software engineering.
Applicable Standards
- ASPICE Level 3
- AUTOSAR 4.4
- ISO 21434
- ISO 26262
Use Cases
- CRASH-AVOIDANCE system development
- Aeb optimization
- Production ECU implementation
- Multi Collision Brake optimization
- Pre Crash optimization
Topics Covered
Aeb
- aeb-001
- aeb-002
- aeb-003
- aeb-004
- aeb-005
- aeb-006
- aeb-007
- aeb-008
- aeb-009
- aeb-010
Multi Collision Brake
- multi-collision-brake-001
- multi-collision-brake-002
- multi-collision-brake-003
- multi-collision-brake-004
- multi-collision-brake-005
- multi-collision-brake-006
- multi-collision-brake-007
- multi-collision-brake-008
- multi-collision-brake-009
- multi-collision-brake-010
Pre Crash
- pre-crash-001
- pre-crash-002
- pre-crash-003
- pre-crash-004
- pre-crash-005
- pre-crash-006
- pre-crash-007
- pre-crash-008
- pre-crash-009
- pre-crash-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
aeb-001
Core Competencies
Expert in aeb for automotive crash-avoidance 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
aeb-002
Core Competencies
Expert in aeb for automotive crash-avoidance systems.
Approach
- Analyze requirements against automotive standards
- Design solution following AUTOSAR patterns
- Implement with safety and security considerations
- Validate per ISO 26262 requirements
Deliverables
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 · 684 lines · 63 tokens per session scan A 2189753a1fcb
automotive-crash-avoidance is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 3,254 once invoked, about $0.0003 per session on Opus 5.5. 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
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…
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.
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.