china-sotif

china-sotif is a skill for Claude Code, Codex from pangzhenying2025/hermes-automotive-skills. It costs 41 tokens per session (3,509 once invoked), scanned A, original, MIT.

A guide to SOTIF, or Safety of the Intended Functionality, for Chinese automotive standards. SOTIF addresses hazards caused by limitations or unexpected situations in a system even when no component has failed.

In plain words
What is it for?
Use it when analyzing camera, radar, lidar, or ultrasonic sensing systems and planning simulation, test-track, road, and in-service monitoring activities.
Why use it?
It provides a process for finding triggering conditions, assessing known and unknown hazards, improving the system, and validating the results.

Skill for Claude CodeCodex

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

Good fit Use it when analyzing camera, radar, lidar, or ultrasonic sensing systems and planning simulation, test-track, road, and in-service monitoring activities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pangzhenying2025/hermes-automotive-skills/china-sotif
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-sotif
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-sotif

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-sotif"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-sotif.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,509 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 $0.00041 $0.03509
Opus 5 $0.00020 $0.01754
Sonnet 5 $0.00008 $0.00702
Haiku 4.5 $0.00004 $0.00351

Measured 9d ago against content hash f6c91cec0bd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

china-sotif 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-sotif/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sotif — China Standard

中国 SOTIF 标准集 — GB/T 43267 + CSAE 316.1/316.2 + CSAE 336

概述

中国 SOTIF(预期功能安全)标准体系,包含一项国标和三项团标,形成从方法论到落地实践的完整框架。

标准集一览

标准编号 名称 状态 推荐等级
GB/T 43267-2023 道路车辆 预期功能安全 已发布 P1
T/CSAE 316.1-2023 环境感知系统SOTIF 第1部分:触发条件分析与描述方法 已发布 P1
T/CSAE 316.2-2023 环境感知系统SOTIF 第2部分:乘用车测试与评价方法 已发布 P1
T/CSAE 336-2023 预期功能安全场景要素及管理要求 已发布 P1

1. GB/T 43267-2023 道路车辆 预期功能安全

等同采用 ISO 21448:2022,是中国 SOTIF 的纲领性标准。

核心框架

ISO 21448 / GB/T 43267 SOTIF流程
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Clause 5-6: 功能和系统规范 → 功能不足识别
Clause 7:   触发条件识别 → 危害行为分析
Clause 8:   已知危害场景评估 → 风险评价
Clause 9:   功能改进 → 风险降低措施
Clause 10:  已知场景验证(仿真+场地+道路)
Clause 11:  未知场景确认(探索性测试+统计论证)
Clause 12:  运行阶段 → 现场监控+持续改进
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

2. T/CSAE 316.1-2023 触发条件分析与描述方法

标准范围

适用于智能网联汽车环境感知系统(摄像头、毫米波雷达、激光雷达、超声波等)的 SOTIF 触发条件系统化分析。

触发条件分析框架

触发条件分析流程 (CSAE 316.1 Figure 1)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  感知系统定义 → ODD定义
       ↓
  触发源收集 → 触发源属性分析
       ↓
  触发机制识别
       ↓
  触发因素确定
       ↓
  触发后果分析
       ↓
  潜在触发条件 → 危害事件关联
       ↓
  触发条件描述(语义/逻辑/具体)
       ↓
  触发条件评价(发生率O × 敏感度P)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

感知要素五层架构

预期感知要素分层 (CSAE 316.1 Section 5)
├── Layer 1: 道路结构 (Road Structure)
│   ├── 车道信息(标线类型、颜色、位置)
│   ├── 道路边界
│   └── 路面状态
├── Layer 2: 交通设施 (Traffic Infrastructure)
│   ├── 交通信号灯
│   ├── 交通标志
│   └── 护栏/隔离带
├── Layer 3: 临时变更 (Temporary Changes)
│   ├── 施工区域
│   ├── 临时标线
│   └── 交通管制
├── Layer 4: 交通参与者 (Traffic Participants)
│   ├── 机动车(小汽车/卡车/摩托车)
│   ├── 非机动车(自行车/电动自行车)
│   ├── 行人
│   └── 动物
└── Layer 5: 自然环境 (Natural Environment)
    ├── 降水(雨/雪/冰雹)
    ├── 空气悬浮物(雾/霾/沙尘)
    ├── 光照(强光/逆光/暗光/频闪)
    └── 其他(温度/电磁干扰)

触发源分类体系

触发源分类 (CSAE 316.1 Table A.1)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

A. 实体要素类触发源
├── 道路结构要素(弯道、坡道、隧道、匝道)
├── 交通设施要素(标志、信号灯、护栏)
├── 临时变更要素(施工区、事故现场)
└── 交通参与者要素(各类车辆、行人)

B. 干扰要素类触发源
├── 自车干扰(振动、发热、电磁)
├── 传感器表面干扰(污损、水滴、冰霜)
├── 悬浮物干扰(昆虫、灰尘、树叶)
├── 遮挡物干扰(前车、建筑物、隧道壁)
└── 高反射微粒干扰(雨滴反光、路面积水)

C. 环境条件类触发源
├── 降水条件(雨/雪/冰雹的强度等级)
├── 空气悬浮物(雾/霾/沙尘的浓度等级)
├── 光照条件(照度、角度、变化率)
└── 其他条件(温度、湿度、电磁场)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Read the full file on GitHub · 345 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 · 345 lines · 41 tokens per session scan A f6c91cec0bd2

Subscribe to this mod's changes

china-sotif is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 3,509 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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