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-creative-aigit 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-creative-ai)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-creative-ai"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-creative-ai/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-creative-ai"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-creative-ai.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 | $0.00131 | $0.01036 |
| Opus 5 | $0.00066 | $0.00518 |
| Sonnet 5 | $0.00026 | $0.00207 |
| Haiku 4.5 | $0.00013 | $0.00104 |
Grade A, and why
sealeap-amazon-creative-ai 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 8d 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 广告 AI 创意工作流
目标
把“让 AI 做一条爆款素材”改成可复核的创意实验：用真实商品、受众和目标约束模型，生成相互有意义差异的概念，逐条做事实/品牌/政策审查，再用预注册指标比较，而不是把一次好结果归因于 AI。
开始前读 references/source-and-guardrails.md。生成概念和 prompt 读 references/creative-workflow.md，审核与实验读 references/review-and-testing.md。
工作流
1. 确认模式
IDEATE：只生成方向；BRIEF：输出可交付给设计/视频团队的 brief；GENERATE_PREP：准备给当前可用 AI 工具的 prompt，不提交；TEST_PREP：做审核、版本管理和 A/B 草案；APPROVED_PUBLISH：仅在用户明确批准具体素材与投放对象后执行。
默认 BRIEF，不把工具入口存在等同于当前账户可用。
2. 建立事实包
至少需要 marketplace、ASIN、目标人群、使用场景、广告目标、允许的商品事实、禁用声明、品牌语气、格式/时长、PDP 证据和现有表现。可用 Product Opportunity Explorer、Brand Analytics、搜索词、评论主题和账户报告提供洞察，但必须保留来源、日期与作用域。
缺少商品事实时不让模型猜图中属性、材质、尺寸、兼容性或功效。
3. 写清创意命题
用一句话固定：为[人群]在[场景]展示[经验证的单一价值]，目标是[行为]。每个版本只改变一个创意假设，例如痛点、演示方式、开场钩子或叙事视角。
4. 人机共创
按 references/creative-workflow.md 先发散 5–10 个概念，再按相关性、可证明性、差异化、无声/移动端可懂性和制作可行性筛到 2–4 个。将被拒概念与原因保留，避免下次重复。
5. 生成并版本化
每个产物记录 asset_id / concept_id / prompt_version / model_or_tool / seed_if_available / source_assets / generated_at / editor / status。AI 产物先标 DRAFT_AI；人工修订后标 REVIEWED_DRAFT，不能直接称“官方素材”或“已合规”。
6. 三层审核
FACT：所有文字与画面是否由商品档案支持；BRAND：语气、视觉、Logo、目标人群和差异化是否一致；POLICY：当前 Amazon 广告政策、类目限制、IP/肖像/商标、生成式内容要求和技术规格。
任一层 HOLD 就不进入测试。
7. 控制实验
固定人群、投放、预算、ASIN、PDP、时间逻辑和其它主要变量，只比较一个创意维度。预注册主指标、护栏、样本门槛、最大花费、停止线、归因成熟日和回退。
8. 复盘
分别报告素材生产效率与媒体效果。节省制作时间/成本不等于广告表现更好；CTR 上升不等于利润或增量销售上升。
必须交付
- 事实包、缺口与禁止猜测项；
- 创意命题、候选矩阵和筛选理由；
- 每个入选概念的 brief/prompt 与版本信息；
- FACT/BRAND/POLICY 审核表；
- 单变量测试卡和审批状态。
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.
- 8d ago First seen · 67 lines · 131 tokens per session scan A ab6fece781f5
sealeap-amazon-creative-ai is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 131 tokens to every session and 1,036 once invoked, about $0.0007 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 2026-09-04.
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