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-scalable-seller-operating-systemgit 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-scalable-seller-operating-system)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-scalable-seller-operating-system"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-scalable-seller-operating-system/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-scalable-seller-operating-system"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-scalable-seller-operating-system.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 | $0.00082 | $0.00852 |
| Opus 5 | $0.00041 | $0.00426 |
| Sonnet 5 | $0.00016 | $0.00170 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
sealeap-amazon-scalable-seller-operating-system 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 团队规模化运营系统
目标
把个人经验转化为团队可复制的组合管理系统，同时为高水平人员保留判断空间，为普通岗位守住执行下限。
适用任务
- 运营从少量 SKU 扩展到产品组合。
- 老板需要判断运营、产品和广告能力。
- 设计 SOP、助理分工、激励与资源分配。
开始前要拿到
- 团队角色、每人管理 SKU、任务耗时和技能评估。
- 产品组合的利润、阶段、成功率、库存和预算。
- 现有 Listing、广告、新品验证和复盘流程。
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
- 不把单个公司的销售额、人效或成功率当作普遍基准。
- 资源向绩效者倾斜时必须控制幸存者偏差并保障公平、合规和可解释性。
- SOP 不能替代专业判断，也不能以规模为由降低产品或合规标准。
- 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. 画出运营系统
从选品、开发、Listing、合规、广告、库存到复盘，标出决策点、责任人和交接物。
2. 测算容量
按任务频率和复杂度计算每个角色可承载的 SKU，识别可交给助理或自动化的重复工作。
3. 分层能力
用实际案例和结果区分专家、独立执行者和需辅导人员，避免只看工龄或销售额。
4. 建立 SOP 下限
为研究、Listing、上线检查、广告测试和复盘定义输入、步骤、质量门槛与异常升级。
5. 设计组合治理
按产品阶段分配预算和人力，用实验成功率、贡献利润和学习价值决定继续、加码或退出。
6. 对齐激励
让收益与可控贡献、利润和长期质量相关，公开计算口径并避免临时改变规则。
判断标准
- 每个 SOP 有负责人、输入、输出和升级条件。
- 容量提升没有牺牲利润、库存健康或合规。
- 优秀人员的自由度与风险责任相匹配。
必须交付的结果
- 端到端运营流程图。
- 岗位容量与技能矩阵。
- 关键 SOP 目录和质量门槛。
- 产品组合资源分配与激励原则。
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 · 82 tokens per session scan A f0dcb872a704
sealeap-amazon-scalable-seller-operating-system is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 82 tokens to every session and 852 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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