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-xiezhi-amazon-store-order-capacity-scalinggit 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-xiezhi-amazon-store-order-capacity-scaling)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-store-order-capacity-scaling"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-store-order-capacity-scaling/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-xiezhi-amazon-store-order-capacity-scaling"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-store-order-capacity-scaling.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 | $0.00061 | $0.00938 |
| Opus 5.5 | $0.00024 | $0.00375 |
| Sonnet 5.5 | $0.00012 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
sealeap-xiezhi-amazon-store-order-capacity-scaling 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 店铺订单承载扩张
目标
把货架宽度与店铺真实承载能力分开，按订单稳定性、利润、库存和团队容量分阶段扩充 SKU。
适用任务
- 诊断新品增加后老品订单被分流。
- 制定首批产品和后续扩品节奏。
- 评估团队、现金流和库存是否能承接下一档规模。
开始前要拿到
- 按日/周拆分的 SKU 订单、流量、转化率和广告数据。
- 新品上架、老品断货、价格与促销变动时间线。
- 各 SKU 贡献利润、库存周转、采购与补货约束。
- 团队在采购、视觉、运营和客服上的实际容量。
缺少字段时列出证据缺口，并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN；不要补造数据。
不可妥协的边界
- 第三方数据均为估算或代理证据；Amazon 一方报告、后台实时字段和产品事实优先。
- 经验阈值只能作为可调起点，必须展示敏感性分析，不能写成 Amazon 官方规则。
- 不得捏造销量、搜索量、CPC、CVR、成本、认证、产品属性或消费者需求。
- 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。
- 不输出或保存素材来源身份、账号、链接、作品编号、互动数据、原始话术或其他可反查来源的线索。
- 不得把相关性误写成平台流量配额因果。
- 扩品方案不得忽略库存和固定成本的非线性增长。
工作流
1. 建立基线
按上新前后窗口比较总订单、自然/广告流量和贡献利润，不只看单个新品是否出单。
2. 识别分流
检查老品下降是否与新品上架同步，并排除断货、季节、价格、Buy Box 和广告预算迁移等混杂因素。
3. 分批扩品
以可管理的小批产品起步，保留淘汰和补位机制；只有稳定订单与利润后才扩大下一批。
4. 核对承载
同步检查现金、首批库存、补货周期、广告预算和人员工时，防止 SKU 数先于能力膨胀。
5. 设升档门
当总订单、利润、周转和执行 SLA 连续达标时升档；若分流或复杂度陡升，暂停扩张并修复瓶颈。
判断标准
- 所谓店铺订单上限是经营观察假设，不是 Amazon 官方算法或固定配额。
- 首批 5–10 个、每 2–3 个月增加一批只能作为低风险起点，必须随资金和能力调整。
- 规模以稳定且有利润的总订单衡量，不以 Listing 数量衡量。
必须交付的结果
- 订单承载趋势图
- SKU 分流诊断表
- 保留/淘汰/补位清单
- 下一批扩品门槛
- 资源容量与风险说明
结尾列出站点、数据窗口、证据来源、关键假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD，不得包装成可直接执行。
执行细节、证据字段和质量检查见 references/playbook.md。
What ships with it
2 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 · 76 lines · 61 tokens per session scan A 44f8b298a17d
sealeap-xiezhi-amazon-store-order-capacity-scaling is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 938 once invoked, about $0.0002 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 2026-09-07.
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