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 xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-patent-complaint-responsegit clone --depth 1 https://github.com/xjli360/sealeap-amazon-ad-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/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-patent-complaint-response)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-patent-complaint-response"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-patent-complaint-response/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/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-patent-complaint-response"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-patent-complaint-response.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 | $0.00081 | $0.00881 |
| Opus 5 | $0.00041 | $0.00441 |
| Sonnet 5 | $0.00016 | $0.00176 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
sealeap-amazon-patent-complaint-response 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 5d 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
Amazon 专利投诉响应
目标
在截止时间内保全证据、理解投诉基础并让专业律师选择法律路径，同时准备一致、真实的平台材料。
适用任务
- ASIN 因发明、实用或外观专利投诉下架。
- 上线前检索未发现但后来出现权利。
- 需要比较申诉、和解、改款或无效程序。
开始前要拿到
- 绩效通知全文、投诉编号、权利人信息、专利号、站点和截止时间。
- 产品开发记录、首售时间、设计图、供应合同、样品和既有检索。
- 受影响销量、库存、利润、替代品和业务中断成本。
缺失的数据要明确列为缺口，并把结论标成事实、估算或假设；不要补造数字。
不可妥协的边界
- 不得提交虚假 POA、伪造设计记录、隐瞒材料事实或威胁投诉方。
- 专利范围与无效判断必须由相应法域的合格律师分析。
- 恢复一次不代表对方不能再采取行动，也不承诺申诉结果。
- 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架；规则可能变化时先核验。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索；当前业务证据的官方来源、采集时间和口径仍需保留。
工作流
1. 冻结事件
保存通知、详情页、产品样品、时间线、库存和销售影响；避免删除会影响证据的文件。
2. 核验权利
让律师确认法域、专利状态、权利要求或图示、权利人和投诉是否与商品对应。
3. 做技术比对
把被诉产品特征逐项映射到权利要求或设计视图，记录相同、不同和需专家判断项。
4. 比较路径
与律师评估不侵权意见、设计绕开、许可或和解、停售清货及无效挑战的时间、成本和风险。
5. 准备平台材料
按通知要求提交身份、事实、证据和明确诉求；法律意见需由律师签发并保持与外部策略一致。
6. 建立预防闭环
未来新品做检索、持续监测待审权利、保存独立开发记录，并从功能、结构与外观多角度规划自身 IP。
判断标准
- 所有期限和法域已确认。
- 平台陈述与律师意见一致且可举证。
- 业务恢复方案考虑库存、现金和再次投诉风险。
必须交付的结果
- 事件时间线与证据保全清单。
- 律师问题清单和技术比对表。
- 路径成本风险矩阵。
- 平台申诉材料清单与预防计划。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步；如包含待执行动作，单独放在“待批准变更”中。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 75 lines · 81 tokens per session scan A b22428817c96
sealeap-amazon-patent-complaint-response is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 81 tokens to every session and 881 once invoked, about $0.0004 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 2026-09-07.
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