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-multi-pillargit 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-multi-pillar)<a href="https://agentmods.dev/skills/pangzhenying2025/hermes-automotive-skills/china-multi-pillar"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-multi-pillar/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-multi-pillar"><img src="https://agentmods.dev/badge/skills/pangzhenying2025/hermes-automotive-skills/china-multi-pillar.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 | $0.00024 | $0.01062 |
| Opus 5 | $0.00012 | $0.00531 |
| Sonnet 5 | $0.00005 | $0.00212 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
china-multi-pillar 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
Multi Pillar — China Standard
"多支柱"标准综合应用指南
标准信息
| 属性 | 值 |
|---|---|
| 名称 | 智能网联汽车自动驾驶系统"多支柱"标准综合应用指南 |
| 状态 | 工作组征求意见稿（2024年10月） |
| 推荐等级 | P2-推荐入选 |
| 总页数 | 152页 |
| 特殊价值 | 中国独有系统观，多标准协同实施方法论 |
"多支柱"方法起源
"多支柱"方法发展历程
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
2019年1月: WP.29/GRVA提出"三支柱"测试方法
├── 支柱1: 实际道路测试
├── 支柱2: 封闭场地测试
└── 支柱3: 审核评估（含仿真）
发展为"多支柱":
├── 支柱1: 场景目录 (Scenario Catalogue)
├── 支柱2: 模拟仿真 (Simulation)
├── 支柱3: 封闭场地 (Proving Ground)
├── 支柱4: 实际道路 (Real World Test)
├── 支柱5: 审核评估 (Audit & Assessment)
└── 支柱6: 在用监测 (In-Service Monitoring)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
中国多支柱综合应用框架
研究对象
调研的自动驾驶产品
├── 城市干支路产品
│ ├── 4家乘用车企业 + 1家商用车企业
│ ├── 最高设计车速: 50-70 km/h
│ └── 功能: 跟车/避撞/换道/转弯/掉头/环岛/隧道
├── 高快速路产品
│ ├── 13家企业（乘用车92.3% + 牵引车7.7%）
│ └── ODD: 高速/城市快速路/匝道/桥梁/隧道
└── 当前技术限制
├── 天气: 横风/大雪/积水识别不足
├── 道路: 破损路面识别不足
└── 信号: 潮汐车道/可变车道/待转区仍在开发
涉及的国家标准
多支柱指南涉及的国家标准
├── GB/T 40429-2021 汽车驾驶自动化分级
├── GB/T 44721-2024 自动驾驶系统通用技术要求
├── GB/T（待定）自动驾驶系统设计运行条件
├── GB/T（待定）自动驾驶功能仿真试验方法及要求
├── GB/T 41798-2022 场地试验方法及要求
└── GB/T 44719-2024 道路试验方法及要求
综合应用方法论
多支柱综合应用框架 (第四章)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
各支柱的实际应用能力分析
├── 仿真试验：高覆盖率，但模型保真度有限
├── 场地试验：高控制性，但场景有限
├── 道路试验：高真实性，但覆盖率低
├── 审核评估：系统性评价，但主观性较强
└── 在用监测：持续性数据，但滞后性
综合应用原则:
1. 各支柱互补，不可单一替代
2. 仿真为主体（覆盖面），实车为验证（关键场景）
3. 审核评估贯穿全过程
4. 在用监测实现闭环
基于综合应用框架的现有标准使用:
→ 附录A提供了详细的应用规程（94页起）
→ 包含具体操作指南和案例
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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skills/china-standards/odd/— ODD标准skills/automotive-scenario-driven-testing/— 场景驱动测试方法
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 · 103 lines · 24 tokens per session scan A f44a35069787
china-multi-pillar is a skill published in the GitHub repository pangzhenying2025/hermes-automotive-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,062 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'…
policy-creation
Guide for adding new enterprise policies to Chromium. Complete guide for policy definitions, pref mapping, and writing tests.
ring:adding-multi-tenancy
Adding database-per-tenant isolation into a Go service end-to-end via an 11-gate cycle: detects the stack, audits compliance, then dispatches backend agents to implement tenantId-from-JWT routing through the lib-commons v5 dispatch layer (config, middleware, repositories, metrics, tests) and runs reviewers. Use when…
dt-sec-insights
Query and analyze Dynatrace security data in security.events with DQL: vulnerabilities, threat detections, compliance posture, and scan coverage. Covers Dynatrace-native Runtime Vulnerability Analytics (RVA — CVEs, reachability, exposure, exploit), Runtime Application Protection (RAP), Automated Detections, and…
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.