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-china-l3-ads-compliancegit 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-china-l3-ads-compliance)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/automotive-china-l3-ads-compliance"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-china-l3-ads-compliance/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-china-l3-ads-compliance"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/automotive-china-l3-ads-compliance.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 | $0.00031 | $0.03859 |
| Opus 5 | $0.00015 | $0.01929 |
| Sonnet 5 | $0.00006 | $0.00772 |
| Haiku 4.5 | $0.00003 | $0.00386 |
Grade A, and why
automotive-china-l3-ads-compliance 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 12d 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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive China L3 Ads Compliance
China L3 Ads Compliance
China L3 Automated Driving System Compliance — Safety Requirements for Conditional Automation
Overview
Expert guidance for compliance with China's national standard for L3 Conditional Automated Driving Systems (有条件自动驾驶系统). This standard is currently under development and addresses safety requirements for vehicles where the system performs the entire DDT within defined ODD, with the expectation that the human driver responds to intervention requests.
Regulatory Context
Standard Status & Timeline
中国L3标准进程
├── 2023: 征求意见稿发布
├── 2024: 标准修订与行业反馈
├── 2025: 报批稿与试行
├── 2026+: 正式实施（预计）
└── 试点城市：
├── 北京（亦庄）
├── 上海（嘉定/临港）
├── 深圳（经济特区立法）
├── 广州
├── 重庆
└── 武汉
Regulatory Framework
中国L3法规体系
├── 国家层面
│ ├── GB — L3自动驾驶系统安全要求（制定中）
│ ├── 工信部 — 智能网联汽车产品准入管理
│ ├── 公安部 — 自动驾驶道路通行管理
│ └── 交通运输部 — 自动驾驶运营管理
├── 地方层面
│ ├── 深圳 — 智能网联汽车管理条例（2022年8月施行）
│ ├── 北京 — 自动驾驶测试管理实施细则
│ └── 上海 — 智能网联汽车测试与示范实施办法
└── 国际对标
├── UN R157 — ALKS (Automated Lane Keeping System)
├── UN R79 Rev.4 — Steering equipment (ACSF)
└── ISO 34502 — Test scenarios for ADS
L3 System Architecture Requirements
System Boundary Definition
L3自动驾驶系统边界
┌─────────────────────────────────────────────────────┐
│ L3 ADS System │
│ ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
│ │ 感知系统 │ │ 决策系统 │ │ 执行系统 │ │
│ │ Cameras │→│ Planning │→│ Steering │ │
│ │ Radars │ │ Decision │ │ Braking │ │
│ │ Lidars │ │ Path Gen │ │ Acceleration │ │
│ │ USS │ │ │ │ │ │
│ └──────────┘ └──────────┘ └──────────────────┘ │
│ ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
│ │ 定位系统 │ │ DMS监控 │ │ HMI系统 │ │
│ │ GNSS/IMU │ │ Driver │ │ Visual/Audio/ │ │
│ │ HD Map │ │ Monitor │ │ Haptic │ │
│ │ V2X │ │ System │ │ │ │
│ └──────────┘ └──────────┘ └──────────────────┘ │
│ ┌──────────────────────────────────────────────┐ │
│ │ 安全冗余系统 │ │
│ │ Redundant Sensing | MRC Controller | E-Stop │ │
│ └──────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────┘
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.
- 12d ago First seen · 356 lines · 31 tokens per session scan A 22c60c808b92
automotive-china-l3-ads-compliance is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 3,859 once invoked, about $0.0002 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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