china-l2-adas-safety

china-l2-adas-safety is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 36 tokens per session (707 once invoked), scanned A, original, MIT.

A guide to China’s proposed mandatory safety requirements for L2 driver-assistance systems, such as adaptive cruise control and lane keeping. L2 means the system controls steering and speed but the driver must still supervise the vehicle.

In plain words
What is it for?
Use it to define the operating domain, design takeover alerts and driver monitoring, specify misuse protections, and plan closed-course, road, and simulation tests.
Why use it?
It helps teams understand the expected operating limits, driver monitoring, warnings, safety controls, and testing needed for combined driver-assistance features.

Skill for Claude CodeCodex

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

Good fit Use it to define the operating domain, design takeover alerts and driver monitoring, specify misuse protections, and plan closed-course, road, and simulation tests.

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Install with agentmods
npx agentmods add skills/pangzhenying2025/hermes-automotive-skills/china-l2-adas-safety
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 china-l2-adas-safety
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 china-l2-adas-safety

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-l2-adas-safety/github.svg)](https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-l2-adas-safety)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-l2-adas-safety"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-l2-adas-safety.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 707 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 $0.00036 $0.00707
Opus 5 $0.00018 $0.00353
Sonnet 5 $0.00007 $0.00141
Haiku 4.5 $0.00004 $0.00071

Measured 9d ago against content hash e19378e8dd31, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

china-l2-adas-safety 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/china-l2-adas-safety/SKILL.md · 78 lines

What it actually says

L2 Adas Safety — China Standard

L2 组合驾驶辅助系统安全要求(强制性国标草案)

标准信息

属性
标准编号 待定(GB 强标)
名称 智能网联汽车 组合驾驶辅助系统安全要求
状态 项目组草案 v2.1
推荐等级 P2-推荐入选
性质 强制性国标,量产合规核心
核心内容 L2 ADAS组合功能(ACC+LKA/LCC/TJA/ICA)安全要求

标准范围

适用于具有组合驾驶辅助功能的M类和N类车辆,要求同时具备纵向和横向控制的L2级功能。

覆盖功能

组合驾驶辅助功能分类
├── 基础组合:ACC + LKA
├── 进阶组合:ACC + LCC (车道居中)
├── 高级组合:ICA (集成巡航辅助 = ACC + LCC)
├── 拥堵辅助:TJA (交通拥堵辅助)
├── 高速辅助:HWA (高速公路辅助 = ICA + 换道辅助)
└── 相关独立功能:AEB, LDW, BSD, FCTA, RCTA

核心要求框架

L2强标安全要求架构
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. ODD定义要求
   ├── 道路类型/速度范围/天气条件
   └── ODD退出策略

2. 系统安全要求
   ├── 功能安全(基于GB/T 34590)
   ├── 预期功能安全(基于GB/T 43267)
   └── 网络安全

3. DMS强制要求
   ├── 注意力监测
   ├── 脱手检测
   ├── 疲劳检测
   └── 防滥用机制

4. HMI要求
   ├── 系统状态显示
   ├── 接管提醒分级
   └── 功能边界提示

5. 测试验证
   ├── 封闭场地测试
   ├── 开放道路测试
   └── 仿真测试
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

详细技术内容参见 skills/automotive-china-l2-adas-compliance/china-l2-adas-compliance.md

相关技能

  • skills/china-standards/ads-safety/ — ADS强制安全要求
  • skills/china-standards/l2-adas/ — L2 ADAS功能要求(16项)
  • skills/automotive-china-l2-adas-compliance/ — L2合规详细指南
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 · 78 lines · 36 tokens per session scan A e19378e8dd31

Subscribe to this mod's changes

china-l2-adas-safety is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 707 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 2026-09-03.

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