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-eu-multimarket-adsgit 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-eu-multimarket-ads)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-eu-multimarket-ads"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-eu-multimarket-ads/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-eu-multimarket-ads"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-eu-multimarket-ads.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 | $0.00149 | $0.00939 |
| Opus 5.5 | $0.00060 | $0.00376 |
| Sonnet 5.5 | $0.00030 | $0.00188 |
| Haiku 4.5 | $0.00015 | $0.00094 |
Grade A, and why
sealeap-amazon-eu-multimarket-ads 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
Amazon 欧洲多站点广告
目标
在不把欧洲当作单一市场的前提下，选择值得测试的站点、商品与季节窗口：先过合规/物流/本地化/经济性门槛，再按站点小预算验证，只有达到预注册条件才扩大。
开始前读 references/source-and-guardrails.md。标准品与非标准品读 references/standard-vs-nonstandard.md，高客单和返校季读 references/high-ticket-and-seasonal.md。
工作流
1. 建立站点 × ASIN 资格矩阵
逐站记录 seller/profile、marketplace、语言、币种、VAT/EPR/产品合规、可售 ASIN、Featured Offer、库存/配送、价格/促销、评价、退货、贡献毛利和广告产品可用性。任一关键项不明则该单元格 HOLD。
2. 判定商品决策类型
STANDARD：规格、型号和比较标准较统一，跨站复用空间较大；NONSTANDARD：尺码、审美、场景、住宅/道路/气候或语言差异影响选择；HIGH_TICKET：不是只看标价，还要结合该品类决策周期、品牌信任和售后风险；SEASONAL：需求受当地学期、天气、节日或促销窗口影响。
同一商品可同时属于多个类型，例如高客单非标准季节品；计划要叠加相应护栏。
3. 选择测试站点
以当前证据评分：需求、竞争成本、毛利、库存/配送、合规、本地化完成度和可验证的受众/搜索词。课程中的流量成本、客单价或 ROAS uplift 只能作为研究假设，不能代替评分。
4. 本地化承接
对标题、关键词、图片/视频、单位、价格心理、信任标记、场景、尺码/兼容、配送与退货逐站审核。只有当前确认的认证或计划标识才能展示。
5. 建立站点独立测试
每个 marketplace 分开预算、币种、报告和归因。先用已验证的核心意图建立最小覆盖，再测试本地词、商品投放或受众。不要把 UK/DE 的 CVR 和 bid 直接复制成其它站点目标。
6. 按决策周期编排触点
高客单商品需要更长观察与品牌/规格验证；季节品按预热、峰值、长尾推进。只有当前账户可用时，才使用 SP/SB/SD/AMC 等具体能力。
7. 扩量或退出
预先定义贡献利润、CVR/ROAS、样本、库存、退货和归因成熟度门槛。扩量每次只改变一个主要变量；课程提到的增幅不是默认步长。失败站点保留证据并停在 REJECTED_FOR_NOW。
必须交付
- 站点 × ASIN 资格矩阵；
- 商品类型与本地化差异；
- 候选站点评分和拒绝理由；
- 逐站 PREHEAT / TEST / SCALE / EXIT 计划；
- 单变量实验、审批、预算上限和回退。
What ships with it
4 files 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.
- 1mo ago First seen · 56 lines · 149 tokens per session scan A 9b466d0364c9
sealeap-amazon-eu-multimarket-ads is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 939 once invoked, about $0.0006 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 2026-09-04.
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