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-oddgit 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-odd)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-odd"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-odd/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-odd"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-odd.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 | $0.00022 | $0.00696 |
| Opus 5 | $0.00011 | $0.00348 |
| Sonnet 5 | $0.00004 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
china-odd 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.
What it actually says
Odd — China Standard
自动驾驶系统设计运行条件（ODD）标准
标准信息
| 属性 | 值 |
|---|---|
| 标准编号 | 待定（GB/T） |
| 名称 | 智能网联汽车 自动驾驶系统设计运行条件 |
| 状态 | 工作组征求意见稿 |
| 推荐等级 | P2-推荐入选 |
| 关联标准 | ISO 34503（ODD Specification），GB/T 40429（分级） |
ODD 定义框架
ODD定义要素（中国标准框架）
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
A. 道路条件
├── 道路类型（高速/城市快速路/城市道路/乡村道路）
├── 道路几何（车道数/车道宽度/曲率/坡度/超高）
├── 道路表面（沥青/混凝土/砂石/状态）
├── 道路设施（标线类型/护栏/中央分隔/路沿）
└── 特殊路段（隧道/桥梁/匝道/交叉口/环岛/收费站）
B. 交通条件
├── 交通参与者类型（机动车/非机动车/行人）
├── 交通流密度（自由流/稳定流/拥堵）
├── 速度范围（最低/最高设计速度）
└── 特殊交通状态（施工区/事故/管制）
C. 环境条件
├── 天气（晴/阴/雨/雪/雾/霾/沙尘/冰雹）
├── 光照（昼间/夜间/黎明/黄昏/隧道）
├── 能见度范围
└── 温度/湿度
D. 数字基础设施
├── 高精地图覆盖与时效性
├── 定位系统精度（GNSS/RTK/惯导）
├── 通信条件（4G/5G/V2X）
└── 云端连接状态
E. 地理区域
├── 经纬度范围
├── 行政区划
└── 特定道路编号
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ODD 边界管理
ODD边界管理策略
├── ODD进入：满足所有ODD条件 → 允许激活
├── ODD内运行：持续监控所有ODD条件
├── ODD退出预警：某项条件接近边界 → 提前提醒
├── ODD退出：条件不满足 → 接管请求/MRM
└── 不确定区域：条件判定不确定 → 保守策略
相关技能
skills/china-standards/ads-safety/— ADS安全要求skills/china-standards/scenario-safety/— 场景安全评估
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 · 74 lines · 22 tokens per session scan A 996a4a1ca04a
china-odd is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 696 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'…
automotive-expert
Expert-level automotive systems, connected vehicles, fleet management, telematics, ADAS, and automotive software. Use when the user mentions connected car, fleet, telematics, ADAS, or vehicle, or when the task involves Automotive Systems, Technologies, Standards and Protocols, or Fleet Management.
state-fee-lookup
A lookup guide for US vehicle taxes and DMV-related fees by state and buyer ZIP code. It covers sales tax, dealer document-fee limits, title and registration fees, and trade-in tax-credit eligibility.
misra
MISRA C:2025 expert that operates in two modes: (1) Review — scan existing C code for violations across all 223 guidelines (22 directives + 201 rules), report findings with rule IDs, corrected code, and deviation justification templates; (2) Develop — generate new C functions, modules, or data structures that are…
requirements
Requirements-engineering expert that operates in three modes: (1) Elicitation — extract atomic, testable requirements from briefs, meeting notes, or system specs using EARS notation, with full attribute set (ID, type, priority, ASIL, verification method, source), flagging ambiguities as open questions; (2) Refinement…