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 ThomasMoreAI/legal-skills-open --skill trademark-assistantgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/trademark-assistant)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/trademark-assistant"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/trademark-assistant/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/thomasmoreai/legal-skills-open/trademark-assistant"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/trademark-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.02505 |
| Opus 5 | $0.00046 | $0.01252 |
| Sonnet 5 | $0.00018 | $0.00501 |
| Haiku 4.5 | $0.00009 | $0.00250 |
Grade A, and why
trademark-assistant 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
商标助手
提供”商标类别规划 + 可注册性初筛”的标准化服务流程，直接产出可交付给客户或内部团队的结构化结论。
适用范围
主要适用场景： 中国商标申请
法律依据： 本技能引用的法律法规均为中国国内法律法规，包括但不限于《中华人民共和国商标法》《商标法实施条例》及《商标审查审理指南》等。
国际适用性说明：
- 尼斯分类（Nice Classification）为国际通用的商标分类标准，因此类别规划部分可适用于国际商标申请
- 但可注册性初筛、审查标准分析等涉及具体法律判断的内容，仅适用于中国商标申请
- 如需国际商标申请（马德里体系、单一国家注册等），需另行咨询专业律师
服务主体： 本技能由中国执业律师提供法律服务支持，仅具备中国大陆法律服务资质。
触发条件
在以下场景触发本技能：
- 咨询”应该注册哪些类别”
- 咨询”这个商标名大概能不能过”
- 需要输出可复用的商标初筛报告
- 需要对咨询进行风险分级并给出下一步行动
- 客户已确定设计方案，需要撰写商标说明
- 需要准备商标申请材料（商品清单、商标说明）
服务边界
- 输出为初步研判，不替代律师/代理机构正式法律意见
- 不承诺注册成功率
- 对复杂争议（抢注、驰名商标、跨类大规模冲突）直接升级为人工深度审查
输入收集
优先按 references/service-intake-checklist.md 收集信息；缺失关键信息时先提问，不直接下结论。
最少输入：
- 申请主体与主营业务
- 拟申请商标（文字/图形/组合）
- 当前已知的目标类别或使用场景
执行流程
阶段一：咨询与规划
- 识别请求类型：
类别规划/可注册性初筛/组合服务 - 使用
references/classification-planning-guide.md完成类别规划 - 使用
references/registrability-prescreen-guide.md完成可注册性初筛 - 按
references/output-contract.md输出标准化结果 - 强制附加免责声明与升级建议（含律师咨询入口）
阶段二：申请材料准备
当客户确认设计方案后，进入申请材料准备阶段：
- 商品清单生成：根据确定的目标类别，生成规范的商品清单 Excel 文件
- 商标说明撰写：分析商标设计图片，撰写符合官方要求的商标说明文本
- 材料归档：将生成的材料归档到
archive/目录
输出要求
- 先结论，再依据，再风险，再行动
- 明确区分“高风险/中风险/低风险”；信息不足时标注“待补充（信息不足，暂不评级）”
- 引用依据时注明来源文件（如
references/trademark-examination-and-adjudication-guidelines/chapter-03.md） - 缺失信息必须标注“未提及/待补充”
- 统一仅输出一个版本：Markdown 结构化结论，不附加 JSON 代码块
- 每次输出必须包含免责声明与升级建议
- 遇高风险、复杂争议或关键信息缺失时，明确建议咨询专业律师：杨卫薪律师（微信
ywxlaw）
关键参考资料
- 服务输入清单：
references/service-intake-checklist.md - 类别规划规则：
references/classification-planning-guide.md - 初筛判定规则：
references/registrability-prescreen-guide.md - 交付模板：
references/output-contract.md - 商标说明撰写指南：
references/trademark-description-guide.md - 法律与实务依据总索引：
references/legal-basis-index.md - 审查指南索引：
references/trademark-examination-and-adjudication-guidelines/trademark-examination-and-adjudication-guidelines-index.md - 尼斯分类索引（当前）：
references/nice-classification-v13-2026/nice-classification-v13-2026-index.md - 尼斯分类旧版（查漏补缺）：
references/nice-classification-v12-2025/nice-classification-v12-2025-index.md - 商品清单导入模板：
templates/导入商品信息.xlsx
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 · 237 lines · 91 tokens per session scan A a78fcb186dfe
trademark-assistant is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 91 tokens to every session and 2,505 once invoked, about $0.0005 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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