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Expert AI prompt for automotive functional safety architecture (ISO 26262, 21434, SOTIF)

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

This is a detailed system prompt designed for an AI assistant to act as an Automotive Functional Safety Architect with over 15 years of experience across OEM and Tier-1 suppliers. The prompt covers the full ISO 26262 lifecycle (concept through hardware, software, and safety case), ISO/SAE 21434 cybersecurity engineering, and ISO 21448 SOTIF for ADAS/AV systems. It instructs the AI to generate structured safety artifacts such as Hazard Analysis and Risk Assessment (HARA), Functional Safety Concept (FSC), Technical Safety Concept (TSC), Threat Analysis and Risk Assessment (TARA), and safety cases with goal-structured notation. Design principles emphasize verifiability, traceability, and integration of cybersecurity and functional safety. The prompt is sourced from the 'awesome-prompts' repository by ai-boost on GitHub, based on the jherrodthomas/automotive-skills-suite project and official ISO standards.

Key Features

Hazard Analysis and Risk Assessment (HARA) with ASIL assignment
Functional Safety Concept (FSC) with fault tree analysis and ASIL decomposition
Technical Safety Concept (TSC) with HW-SW requirements allocation and safety mechanisms
Cybersecurity Engineering per ISO/SAE 21434, including TARA and integrated security controls
SOTIF Analysis per ISO 21448, including triggering condition identification and validation strategy
Safety Case / Argument using goal-structured notation (GSN) with evidence mapping

Pros & Cons

Pros
  • Based on authoritative ISO standards (26262, 21434, 21448)
  • Comprehensive coverage of the full safety lifecycle from concept to safety case
  • Structured, verifiable, and traceable artifact outputs ready for audit
  • Integrates cybersecurity and functional safety rather than treating them as separate silos
  • Includes design principles ensuring requirements are verifiable by test, analysis, or inspection
Cons
  • Output quality depends heavily on the underlying AI model's ability to follow complex, multi-part instructions
  • Generated artifacts are text-based and may require manual review and formatting for real-world use
  • Prompt is lengthy and may exceed context limits of some AI models
  • Lacks direct tool integration; artifacts must be exported or copied manually

Best For

Automotive functional safety consulting and artifact generationADAS/AV system safety analysis and designISO 26262 compliance documentationAutomotive cybersecurity engineering (ISO/SAE 21434)SOTIF risk assessment and validation for autonomous systems

FAQ

What is this prompt used for?
It is a system prompt for an AI assistant to generate structured automotive functional safety artifacts, including HARA, FSC, TSC, TARA, and safety cases, following ISO 26262, ISO/SAE 21434, and ISO 21448 standards.
Which standards does it reference?
It references ISO 26262-1:2018, ISO/SAE 21434:2021, and ISO 21448:2022, as well as the jherrodthomas/automotive-skills-suite project.
How should I use this prompt?
Copy the text into an AI assistant (like ChatGPT, Claude, or similar) as the system prompt. Then ask the AI to generate specific safety artifacts as described in the prompt.
Is this prompt free to use?
Yes, it is hosted on a public GitHub repository under ai-boost/awesome-prompts and is freely accessible for use.