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-sotif-highway-testinggit 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-sotif-highway-testing)<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.
<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>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 | $0.00026 | $0.02667 |
| Opus 5 | $0.00013 | $0.01333 |
| Sonnet 5 | $0.00005 | $0.00533 |
| Haiku 4.5 | $0.00003 | $0.00267 |
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.
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",
},
}
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.
- 9d ago First seen · 269 lines · 26 tokens per session scan A cbdbba2215d4
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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