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 china-ads-safetygit 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/china-ads-safety)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-ads-safety"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-ads-safety/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/china-ads-safety"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-ads-safety.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 | $0.00028 | $0.01418 |
| Opus 5 | $0.00014 | $0.00709 |
| Sonnet 5 | $0.00006 | $0.00284 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
china-ads-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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads Safety — China Standard
ADS 自动驾驶系统安全要求（强制性国标草案）
标准信息
| 属性 | 值 |
|---|---|
| 标准编号 | 待定（GB 强标） |
| 名称 | 智能网联汽车 自动驾驶系统安全要求 |
| 状态 | 工作组征求意见稿 v1.0（2025.11） |
| 推荐等级 | P2-推荐入选 |
| 替代 | GB/T 44721-2024 |
| 性质 | 强制性国标，国家战略级标准 |
| 完成目标 | 2025年7月30日 |
| 总页数 | 约50页 |
标准核心内容
总体安全要求
ADS安全总体要求
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
核心原则：
ADS安全水平应至少等同于合格谨慎的人类驾驶员
(at least equivalent to a competent and careful human driver)
适用范围：
- L3 有条件自动驾驶
- L4 高度自动驾驶
- M类和N类车辆
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
标准结构
标准结构（10章 + 附录A）
├── 第1章 范围
├── 第2章 规范性引用文件
├── 第3章 术语和定义
│ ├── ADS (自动驾驶系统)
│ ├── DDT (动态驾驶任务)
│ ├── ADSF-1 / ADSF-2 (自动驾驶功能分类)
│ ├── ODD (运行设计域)
│ ├── ODC (运行设计条件)
│ ├── MRC (最小风险状态)
│ ├── MRM (最小风险操作)
│ ├── 安全论证 (Safety Case)
│ └── 场景 (Scenario)
├── 第4章 总体要求
├── 第5章 ADS技术要求
│ ├── 5.1 DDT执行要求
│ │ ├── 正常场景
│ │ ├── 关键场景
│ │ └── 故障场景
│ ├── 5.1.5 ODC边界要求
│ ├── 5.2 MRM要求
│ └── 5.3 人机交互要求
│ ├── 激活/退出
│ ├── 后备用户监控
│ └── 接管流程
├── 第6章 制造商要求
│ ├── 6.1 安全管理体系 (SMS)
│ │ ├── 安全方针
│ │ ├── 风险管理
│ │ ├── 安全保障
│ │ ├── 安全改进
│ │ ├── 设计开发管理
│ │ ├── 生产管理
│ │ └── 售后安全管理 (ISMR)
│ └── 6.2 仿真测试要求
│ ├── 数据管理
│ ├── 人员能力
│ ├── 发布管理
│ ├── 工具链描述
│ ├── 不确定性量化
│ ├── 验证与确认
│ └── 灵敏度分析
├── 第7-8章 场地测试/道路测试要求
├── 第9章 在用安全监控 (ISMR)
├── 第10章 符合性评估
└── 附录A 术语和定义补充
安全管理体系（SMS）要求
制造商安全管理体系 (Section 6.1)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
安全方针 (Safety Policy)
└── 组织承诺、安全目标、资源保障
风险管理 (Risk Management)
├── 系统性风险识别与评估
├── 风险缓解措施
└── 残余风险监控
安全保障 (Safety Assurance)
├── 安全验证与确认活动
├── 安全审计
└── 安全案例构建
安全改进 (Safety Improvement)
├── 事故/事件分析
├── 经验教训反馈
└── 持续改进机制
在用安全管理 (ISMR - In-Service Monitoring and Reporting)
├── 运行数据监控
├── 安全事件报告
├── 定期安全评估
└── OTA更新安全管理
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
仿真测试特别要求
仿真测试要求 (Section 6.2)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
数据管理：训练/验证/测试数据的质量控制
人员能力：仿真团队技术资质要求
发布管理：仿真软件版本控制
工具链描述：仿真工具链完整性说明
不确定性量化：模型与真实世界的偏差评估
验证与确认：仿真模型V&V
灵敏度分析：参数变化对结果的影响分析
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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 · 157 lines · 28 tokens per session scan A 96297840f503
china-ads-safety is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 1,418 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.
Other skills, from other repositories
iso26262
ISO 26262 functional-safety expert that operates in two modes: (1) HARA / ASIL determination — enumerate hazardous events from item malfunctions × driving situations, rate Severity (S0–S3), Exposure (E0–E4), Controllability (C0–C3), look up ASIL from ISO 26262-3:2018 Table 4, and produce a HARA report with Safety…
automotive-syseng
When the user wants to analyze automotive requirements, check INCOSE/EARS compliance, review MISRA-C code, assess ADAS levels, or verify ISO 26262/AUTOSAR/SOTIF conformance. Also use when the user says 'check requirements', 'EARS check', 'INCOSE analysis', 'MISRA check', 'ASIL assessment', 'V-model check'…
test-warp-ui
Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.
test-electron-app
Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…
pyats-dynamic-test
Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.
test-loop
Plan, generate, and heal an executable E2E test suite from approved acceptance criteria (web and mobile).