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-sp-video-adsgit 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-sp-video-ads)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-sp-video-ads"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-sp-video-ads/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-sp-video-ads"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-sp-video-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00149 | $0.01152 |
| Opus 5.5 | $0.00060 | $0.00461 |
| Sonnet 5.5 | $0.00030 | $0.00230 |
| Haiku 4.5 | $0.00015 | $0.00115 |
Grade A, and why
sealeap-amazon-sp-video-ads 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 商品推广视频样式（SPV）
目标
将一个已验证的 ASIN 变成可审核、可测试、可回退的视频广告方案：先确认当前账户是否具备 SP 视频样式，再建立 3–5 个单一概念素材，逐条通过商品事实与政策审查，最后在独立的竞价实验中判断视频是否带来增量价值。
开始前读 references/source-and-guardrails.md。制作素材读 references/creative-brief-and-review.md；设置与测量读 references/activation-and-measurement.md。
不可跳过的边界
- SPV 的站点、账户、类目、展示位置、视频数量、字段限制、文件规格和竞价范围可能变化；必须在当前控制台或官方文档复核。
- 课程材料出现互相冲突的文案字符限制；遇到冲突一律以当前 UI 校验为准。
- 视频中的商品、功能、兼容性、性能、认证和场景必须由当前 PDP/产品档案支持。
- 默认只生成 brief、审核结果和草案。上传素材、调 bid/budget/placement 或启停广告均需用户明确批准。
工作流
1. 确认作用域与资格
记录 marketplace、profile、campaign、ad group、ASIN、类目、语言、日期与权限。进入当前广告控制台确认：SP 视频样式可见、该 ASIN 可选、素材规格/字段校验和报告字段存在。无法确认则输出 ELIGIBILITY_NEEDS_VERIFICATION，不声称可上线。
2. 验证商品与零售准备度
检查 Featured Offer、库存、配送、评分、价格/优惠、移动端详情页、变体和已有视频。若视频承诺与 PDP 不一致、库存不足或详情页不能承接，状态为 HOLD_RETAIL_READINESS。
3. 建立素材矩阵
先确定 3–5 个不同概念，每条视频只讲一个核心价值：痛点解决、核心功能、使用场景、上手方式、差异化或可信证明。不要把同一条片简单换封面当不同概念。
使用 references/creative-brief-and-review.md 逐条输出：目标人群、使用场景、首屏钩子、镜头表、唯一价值、商品占屏、封面/缩略图、PDP 证据、禁用元素和版本号。
4. 做政策与质量审查
逐项判定 PASS / FIX / HOLD：
- 商品是否清晰、持续可辨、与广告 ASIN 一致；
- 是否真实演示而非静态幻灯片或过度渲染；
- 是否存在未经证实的文字、字幕、旁白、Logo、emoji、对比或功效声明；
- 是否有黑边、失真、低清、危险使用、无关人物/商品；
- 产品名称、描述和缩略图是否符合当前字段限制。
5. 设计独立测试
优先比较一个变量：视频概念、视频与非视频、缩略图或视频加价。固定 ASIN、target、日期逻辑、预算和其它 placement 调整。已有叠加系数时先算实际最大出价，避免把视频加价、位置加价和动态竞价当成彼此独立。
6. 上线前审批
审批卡必须列出 profile、campaign、ad group、ASIN、视频文件/asset ID、缩略图、文案、target、基准 bid、每个调整系数、最大可能出价、预算、停止线和回退值。
7. 观察与复盘
等待当前归因窗口成熟。至少同时看曝光、点击、CTR、CPC、花费、订单、销售、CVR、ACOS/ROAS，以及当前报告支持的视频观看指标。比较绝对值、比例和样本量，不只报 uplift。
必须交付
- 当前资格与规格复核结果；
- 商品事实表和零售准备度；
- 3–5 条单概念 brief 与逐条审核；
- 实际竞价堆叠计算、预算上限和单变量实验；
- 审批对象、停止线、回退和最终状态。
What ships with it
4 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 · 66 lines · 149 tokens per session scan A 8db9fb16fa32
sealeap-amazon-sp-video-ads is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 1,152 once invoked, about $0.0006 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 2026-09-04.
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