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 5.5 | $0.00010 | $0.00425 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (10 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 1,062 once invoked, about $0.0001 per session on Opus 5.5. 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.
accessibility-testing
Test for WCAG 2.2 AA compliance with axe-core + Playwright, keyboard navigation audits, screen reader testing, ARIA pattern validation, and legal compliance mapping (ADA, EAA, Section 508). Automated tools catch 30-40% of issues — this skill covers automated and manual testing together. Use when: "accessibility,"…
compliance-testing
Test for regulatory compliance: GDPR/CMP consent verification, Google Consent Mode v2, Global Privacy Control (GPC), CCPA/US state opt-out, EU AI Act Article 50 transparency, Better Ads Standards, and cookie-inventory auditing. Covers automated consent-flow testing, policy-based script blocking before consent, and…
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…