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-keyword-promotion-sequencinggit 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-keyword-promotion-sequencing)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-keyword-promotion-sequencing"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-keyword-promotion-sequencing/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-keyword-promotion-sequencing"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-keyword-promotion-sequencing.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 | $0.00085 | $0.01079 |
| Opus 5.5 | $0.00034 | $0.00432 |
| Sonnet 5.5 | $0.00017 | $0.00216 |
| Haiku 4.5 | $0.00009 | $0.00108 |
Grade A, and why
sealeap-amazon-keyword-promotion-sequencing 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 关键词推广顺序
目标
先用最容易验证真实转化的查询建立基本盘，再按证据扩大到中部与核心词。
适用任务
- 新品直接打大词转化差。
- 需要规划长尾、中部和核心词的先后顺序。
- 在不同阶段组合 SP、商品投放和品牌视频。
开始前要拿到
- 关键词相关性、意图、搜索量代理、CPC、预估转化和词根关系。
- 广告类型资格、视频素材权利和预算。
- 商品转化、库存、利润和自然位置趋势。
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
- 搜索量分段不是跨类目固定阈值，应按当前市场分位数定义。
- 品牌视频或促销仅在账号有资格且素材合规时使用。
- 自然位置是观测结果，不以固定订单承诺排名。
- 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. 阶段零准备
完成 Listing、库存、利润和词库检查，为每个词标注意图与当前证据。
2. 阶段一验证长尾
用精准广告和受控发现覆盖最贴合卖点的长尾主题，优先验证 CVR 与 CPA。
3. 阶段二扩展中部词
把同词根中部词分批放入词组或其他合适匹配，按样本淘汰并保留表现者。
4. 阶段三精准承接
把通过门槛的中部词迁移到精准层，增加预算前检查与原活动重叠。
5. 阶段四测试核心词
在基本盘、库存和利润足够后，小规模测试核心词及商品投放，不一次性重押。
6. 持续收敛
把预算流向增量利润成立的层级，缩减无效泛词并观察自然侧变化。
判断标准
- 每个阶段有进入、毕业和停止条件。
- 词从一层迁移到下一层有报告证据。
- 广告类型选择与资格、素材和预算相匹配。
必须交付的结果
- 关键词分层与阶段顺序。
- 每阶段广告组合和预算职责。
- 迁移、否定与停止规则。
- 自然侧与利润监控方案。
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.
- 1mo ago First seen · 85 lines · 85 tokens per session scan A 8d72d7169e39
sealeap-amazon-keyword-promotion-sequencing is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 1,079 once invoked, about $0.0003 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.
Other skills, from other repositories
zach-search-term-analyzer
An analyzer for Amazon Brand Analytics Top Search Terms reports, which show popular searches across Amazon and how clicks and conversions are distributed among products.
ecom-image2
An image-generation workflow for creating e-commerce visuals with GPT-Image-2, such as product images, banners, social posts, and infographics.
sorftime-seller-agent
Sorftime Seller Agent — Expert-level cross-border e-commerce data analysis and product sourcing intelligence for Amazon, Walmart, TikTok Shop, 1688, Shopee, and TEMU sellers (plus Reddit social-listening queries). A single skill that turns any MCP-enabled AI agent (Claude Code, OpenClaw, Cursor, Copilot) into a…
ai-model-expert-1688-ecommerce-video-generation-editing
An AI tool workflow for creating and editing 1688 e-commerce videos from text, images, videos, or audio. 1688 is a Chinese online wholesale marketplace.
302-ai-alternative-ai-hive
A migration guide for teams moving between AI model API platforms, especially for image and video generation. It helps review an existing OpenAI-compatible integration and plan testing, routing, and fallback options.
ai-hive-agentic-ocr-targeted-evidence
A document-search workflow that first finds likely pages and then uses OCR, or software that reads text from images, on only the relevant scans, tables, or small text.