automotive-sotif-highway-testing

automotive-sotif-highway-testing is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 26 tokens per session (2,667 once invoked), scanned A, original, MIT.

A reference skill for testing automated-driving functions on highways, including adaptive cruise control, lane centering, and highway pilots. It covers scenario design, simulated, track, and public-road testing, performance assessment, and evidence for SOTIF compliance.

In plain words
What is it for?
Use it to create highway test scenarios, run tests in simulation or on roads, measure performance, and prepare SOTIF evaluation evidence.
Why use it?
It provides a structured way to evaluate how a vehicle behaves across normal and difficult highway situations and to document the results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create highway test scenarios, run tests in simulation or on roads, measure performance, and prepare SOTIF evaluation evidence.

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Install with agentmods
npx agentmods add skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing
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.

Any agent
npx skills add pangzhenying2025/hermes-automotive-skills --skill automotive-sotif-highway-testing
Clone the repo
git clone --depth 1 https://github.com/pangzhenying2025/hermes-automotive-skills

Made for: Claude Code, Codex.

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-sotif-highway-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing/github.svg)](https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing)
Your own site
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing/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-sotif-highway-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-sotif-highway-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,667 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 $0.00026 $0.02667
Opus 5 $0.00013 $0.01333
Sonnet 5 $0.00005 $0.00533
Haiku 4.5 $0.00003 $0.00267

Measured 9d ago against content hash cbdbba2215d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automotive-sotif-highway-testing 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 9d 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.

skills/automotive-sotif-highway-testing/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automotive Sotif Highway Testing

Sotif Highway Testing

SOTIF Highway Testing & Evaluation — Structured Test Framework for Highway ADAS/ADS

Overview

Specialized SOTIF testing framework for highway scenarios including ACC, LCC, ICA, HWA, and L3 highway pilot. Covers scenario design, test execution, performance evaluation, and evidence generation for ISO 21448 compliance on highway applications.

Highway SOTIF Test Architecture

高速公路SOTIF测试架构
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
            ┌─────────────┐
            │  场景库       │
            │ Scenario DB  │
            └──────┬──────┘
                   │
     ┌─────────────┼─────────────┐
     ▼             ▼             ▼
┌─────────┐ ┌──────────┐ ┌──────────┐
│ 仿真测试  │ │ 场地测试  │ │ 道路测试  │
│   SiL    │ │  Track   │ │ Public   │
│  >10M km │ │  >1K km  │ │ >100K km │
└────┬────┘ └────┬─────┘ └────┬─────┘
     │           │            │
     └─────────┬─┴────────────┘
               ▼
        ┌──────────────┐
        │ 综合评估       │
        │ Assessment    │
        └──────────────┘
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Highway Critical Scenario Catalog

Category 1: Longitudinal Scenarios

longitudinal_scenarios = {
    "L-001_前车正常跟车": {
        "description": "Normal car-following on highway",
        "ego_speed_range": [60, 120],  # km/h
        "target_speed_range": [60, 120],
        "thw_range": [1.0, 3.0],  # time headway (s)
        "criticality": "low",
        "sotif_relevance": "baseline performance",
    },
    "L-002_前车紧急制动": {
        "description": "Lead vehicle emergency braking",
        "ego_speed": 120,
        "target_decel": [-6, -9.8],  # m/s²
        "initial_thw": [1.5, 2.5],
        "criticality": "high",
        "sotif_relevance": "perception delay + system response",
    },
    "L-003_前车切出暴露静止车辆": {
        "description": "Lead vehicle cut-out revealing stationary vehicle",
        "ego_speed": [100, 120],
        "target_speed": 0,
        "cut_out_ttc": [2.0, 5.0],  # s before collision
        "criticality": "critical",
        "sotif_relevance": "radar static filter + camera late detection",
        "known_accidents": "Tesla Autopilot incidents, NIO NOP incidents",
    },
    "L-004_旁车切入": {
        "description": "Adjacent vehicle cut-in",
        "ego_speed": [80, 120],
        "cut_in_speed": [60, 100],
        "overlap_rate": [0.5, 1.0],
        "cut_in_ttc": [1.0, 3.0],
        "criticality": "high",
        "sotif_relevance": "prediction + planning response",
    },
    "L-005_慢速车辆逼近": {
        "description": "Approaching slow vehicle (speed differential >40km/h)",
        "ego_speed": 120,
        "target_speed": [20, 60],
        "detection_distance_required": ">150m",
        "criticality": "high",
        "sotif_relevance": "long-range detection capability",
    },
}

Read the full file on GitHub · 269 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. 9d ago First seen · 269 lines · 26 tokens per session scan A cbdbba2215d4

Subscribe to this mod's changes

automotive-sotif-highway-testing is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 2,667 once invoked, about $0.0001 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 2026-09-03.

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