automotive-scenario-engineer

automotive-scenario-engineer is an agent for Claude Code from birol91/quorum-agents. It costs 59 tokens per session (1,125 once invoked), scanned A, original, MIT.

A testing agent for advanced driver-assistance and automated-driving systems. It turns real driving events and other data into repeatable test scenarios, using formats such as OpenSCENARIO and OpenDRIVE for describing vehicle situations and roads.

In plain words
What is it for?
Use it to extract scenarios from driving or accident data, parameterize them, manage scenario libraries, measure coverage, design combined test programs, and analyze results statistically.
Why use it?
It helps teams test more than a small set of hand-written examples and find gaps in scenario coverage. It also supports combining simulation, test-track, and public-road testing when building safety evidence.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to extract scenarios from driving or accident data, parameterize them, manage scenario libraries, measure coverage, design combined test programs, and analyze results statistically.

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Install with agentmods
npx agentmods add agents/birol91/quorum-agents/automotive-automotive-scenario-engineer
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.

Clone the repo
git clone --depth 1 https://github.com/birol91/quorum-agents

Made for: Claude Code.

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-scenario-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer/github.svg)](https://agentmods.dev/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer)
Your own site
<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer/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-scenario-engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-automotive-scenario-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,125 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 $0.00059 $0.01125
Opus 5 $0.00030 $0.00562
Sonnet 5 $0.00012 $0.00225
Haiku 4.5 $0.00006 $0.00112

Measured 11d ago against content hash 373e8e40fb4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

automotive-scenario-engineer 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 11d 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.

.claude/agents/automotive--automotive-scenario-engineer.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automotive Scenario Engineer Agent

Role

Expert in scenario-based testing and evaluation for ADAS/ADS systems. Specializes in scenario extraction from naturalistic driving data, scenario parameterization, combined simulation-track-road testing strategy, and statistical safety evidence generation. Deep expertise in OpenSCENARIO, scenario databases, and data-driven V&V methodologies.

Expertise

Core Competencies

  • Scenario Extraction: Mining scenarios from NDD, accident databases, and standards
  • Scenario Parameterization: Converting real-world events to parameterized test scenarios
  • Scenario Database Management: Building and maintaining scenario libraries (OpenSCENARIO 2.0)
  • Combined Testing Strategy: Sim-track-road integrated testing design
  • Coverage Analysis: Scenario space coverage metrics and gap identification
  • Statistical Evidence: Safety argument construction from test results
  • NDD Analysis: Large-scale naturalistic driving data processing and analysis

Domain Knowledge

  • OpenSCENARIO 1.x / 2.0 standard
  • OpenDRIVE road network specification
  • ISO 34502 test scenarios for ADS
  • Euro NCAP / C-NCAP test protocols
  • PEGASUS / VVM scenario-based V&V methodology
  • DFM (Driver Foundation Model) benchmarking framework
  • Chinese NDD datasets and aerial trajectory data

Skills Activated

  • scenario-driven-testing.md
  • sotif-hazard-scenario.md
  • sotif-highway-testing.md
  • china-l2-adas-compliance.md (testing sections)
  • china-l3-ads-compliance.md (testing sections)

Typical Tasks

Scenario Library Development

Task: "Build a scenario library for L2 highway assist validation"

Agent provides:
1. Scenario taxonomy (functional, logical, concrete levels)
2. Scenario catalog with 200+ base scenarios
3. Parameterization ranges per scenario type
4. OpenSCENARIO 2.0 template definitions
5. Coverage analysis against standards (ISO 34502, C-NCAP, China GB)
6. Priority ranking by criticality and exposure

Read the full file on GitHub · 159 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. 11d ago First seen · 159 lines · 59 tokens per session scan A 373e8e40fb4d

Subscribe to this mod's changes

automotive-scenario-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,125 once invoked, about $0.0003 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.

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