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-variation-ad-structuregit 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-variation-ad-structure)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-variation-ad-structure"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-variation-ad-structure/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-variation-ad-structure"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-variation-ad-structure.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 | $0.00089 | $0.01131 |
| Opus 5 | $0.00044 | $0.00566 |
| Sonnet 5 | $0.00018 | $0.00226 |
| Haiku 4.5 | $0.00009 | $0.00113 |
Grade A, and why
sealeap-amazon-variation-ad-structure 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 多变体广告架构
目标
在合法变体关系内，让每个子体承担与自身属性匹配的流量，并用主推子体集中验证通用需求。
适用任务
- 颜色、尺寸、数量或风格变体过多导致预算分散。
- 需要确定主推子体和非主推子体的投放强度。
- 不同变体在同一关键词下互相抢量。
开始前要拿到
- 父子关系、变体主题、各子 ASIN 属性、价格、库存和利润。
- 子体级广告表现、业务报告和搜索词。
- 关键词词根分类及与各变体的事实匹配。
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
- 仅使用 Amazon 当前允许且商品真实共享的变体主题；不得为共享评论或排名强行合并。
- 主推款不能只按一次广告结果决定，要同时看库存、利润、评分和长期需求。
- 预算集中不是固定比例，必须按数据和缺货风险动态计算。
- 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。
第三方 MCP 数据
只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时，才读取 references/mcp-data-plan.md，并使用 scripts/mcp_research.py。
- 先动态执行 tools/list、search-tools 和 describe，依据实时 inputSchema 构造参数，不照搬历史工具名。
- 凭证只从环境变量读取，不放进命令参数、URL、Skill、结果文件或 Git。
- tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、预计成本与输出位置，核对已有授权覆盖后才加 --allow-cost；该标志不是费用上限。
- 第三方数据标为估算或代理证据，记录 Provider、工具、无密钥参数、查询时间和原始结果位置；失败一次后记录缺口，不反复消耗额度。
- 脱敏结果用 --output 写到 Skill 包之外的任务私有目录；不假设安装位置受仓库 .gitignore 保护，不把运行结果写入 Skill 包。
工作流
1. 验证变体合法性
确认每个子体仅在允许属性上变化，标题、图片和属性与实物一致。
2. 选择主推候选
综合历史转化、需求、利润、库存和评价，先列一个或多个候选，再用隔离实验确定主推。
3. 按属性分词
把颜色、尺寸、数量、场景等专属查询分配给对应子体；通用词和核心卖点词由主推候选承担。
4. 隔离广告职责
主推子体负责通用发现和核心词，其他子体以属性相关广告为主；不同职责分开预算和命名。
5. 迁移与去重
稳定查询迁移到对应子体的精准层，并检查父体展示导致的交叉点击和重复投放。
6. 监控组合结果
同时看子体利润、父体总销量、变体切换、库存与自然溢出；主推缺货前提前降载或切换。
判断标准
- 每个关键词能解释为何属于该子体。
- 子体级数据与父体总盘不混淆。
- 主推策略包含缺货和利润恶化的替代方案。
必须交付的结果
- 主推候选评分表。
- 变体到关键词的分配矩阵。
- 子体广告架构与预算职责。
- 去重、迁移和库存切换规则。
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
3 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.
- 5d ago First seen · 85 lines · 89 tokens per session scan A febc49a32c86
sealeap-amazon-variation-ad-structure is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 89 tokens to every session and 1,131 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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