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-compliant-zero-to-one-launchgit 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-compliant-zero-to-one-launch)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-zero-to-one-launch"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-zero-to-one-launch/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-compliant-zero-to-one-launch"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-zero-to-one-launch.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 | $0.00086 | $0.01154 |
| Opus 5.5 | $0.00034 | $0.00462 |
| Sonnet 5.5 | $0.00017 | $0.00231 |
| Haiku 4.5 | $0.00009 | $0.00115 |
Grade A, and why
sealeap-amazon-compliant-zero-to-one-launch 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 合规从零到一推广
目标
先把流量送到最有转化把握的查询，再由精准到宽泛逐级扩展，以真实订单验证商品竞争力。
适用任务
- 预算有限且希望降低新品早期低转化信号。
- 非标品有多组属性词根，需要分组推进。
- 标品词少，但仍要组合不同合法广告入口。
开始前要拿到
- 产品事实、差异化卖点、价格、库存和完整 Listing。
- 关键词全集、词根分类、搜索量代理、相关性和预估转化。
- 广告预算、盈亏平衡 CPC、阶段目标和最长验证期。
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
- 仅使用真实客户订单和 Amazon 允许的评论项目；拒绝刷单、返现、测评和评论操纵。
- 长尾词也必须有真实相关性，不能为扩词拼接消费者不会使用的查询。
- 不以排名为保证，阶段升级必须由转化、利润和样本共同触发。
- 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. 找全并筛词
从自有报告和授权竞品数据建立词库，按属性或场景词根分组，并标记不相关词根。
2. 选择首发词
每组优先选购买意图最明确、与商品事实最匹配的长尾词；流量过小时可组合多个同类词，但不混合不同意图。
3. 搭建探索与精准层
用受控自动和商品投放补充发现，用精准广告承接首发词，用低风险广泛覆盖同词根的其他查询。
4. 验证承接能力
对每组比较 CTR、CVR、CPA、退货和利润。转化不足先排查价格、内容、评价质量和产品匹配，不盲目加价。
5. 逐级扩展
首发词稳定后扩展到更短的中部词，再到核心词；每层有独立预算和进入门槛。
6. 收敛与防守
迁移赢家、否定无关词、保留低成本探索，并按库存和利润调整规模。
判断标准
- 每一层关键词都有事实相关性证据。
- 广告入口之间职责明确，不重复堆预算。
- 任何扩量都不突破现金、库存和合规护栏。
必须交付的结果
- 词根分层和首发词清单。
- 从长尾到核心词的阶段路线。
- 广告职责、预算与否定方案。
- 升级、暂停和商品页返工条件。
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 · 86 tokens per session scan A 10f7eaf3aaed
sealeap-amazon-compliant-zero-to-one-launch is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 1,154 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.
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