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-pixiu-amazon-product-research-fbmgit 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-pixiu-amazon-product-research-fbm)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-pixiu-amazon-product-research-fbm"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-pixiu-amazon-product-research-fbm/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-pixiu-amazon-product-research-fbm"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-pixiu-amazon-product-research-fbm.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 | $0.00082 | $0.00982 |
| Opus 5.5 | $0.00033 | $0.00393 |
| Sonnet 5.5 | $0.00016 | $0.00196 |
| Haiku 4.5 | $0.00008 | $0.00098 |
Grade A, and why
sealeap-pixiu-amazon-product-research-fbm 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 选品与产品开发：FBM、发货与入库、图片与视频
目标
围绕FBM、发货与入库、图片与视频，验证购买需求、直接竞争、差异化和单位经济，形成进入、有限验证或暂缓的有据判断。
使用范围
- 优先处理选品与产品开发任务；从专项证据卡选择与当前对象和问题直接相关的主题。
- 集合名称用于维护文件归属，不限制用户要求的交叉验证。其他来源与业务域的证据须分别标注，再按同口径比较。
- 本 Skill 可独立使用，不依赖仓库中的私有语义稿。保留去标识化边界，不恢复原素材身份或逐条映射。
适用任务
- 机会卡
- 竞品与 VOC 证据表
- 差异化规格
开始前要拿到
- 目标站点、类目、价格带和风险偏好。
- 需求、关键词、直接竞品、评论与上架时间。
- 采购、物流、平台费、广告和退货成本。
- 产品事实、供应链、IP 与合规约束。
缺少字段时明确标为 UNKNOWN 或 NEEDS_EVIDENCE，不要补造数据。
不可妥协的边界
- 本 Skill 来自去标识化语义转译，不保留或推断素材来源身份，也不把素材观点冒充 Amazon 当前政策。
- 产品事实、账户事实和 Amazon 一方报告优先；第三方数据必须标明 Provider、站点、日期、样本和估算口径。
- 不捏造销量、搜索量、成本、合规状态、产品属性、评论、平台通知或执行结果。
- 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。
- 平台规则、费率、界面和资格会变化；执行前复核当前官方文档与后台状态。
工作流
- 定义购买对象、场景、核心任务和直接竞品边界。
- 用需求、竞争、评论和新进入者证据验证市场，而非只看热度。
- 从差评、退货和使用障碍提炼可工程化改进。
- 统一规格核算落地成本、广告承受力和贡献利润。
- 通过样品、合规、IP 和小批量测试后再形成 GO/NO-GO。
专项路由
- FBM：核对承诺时效、库存同步、退货地址、承运与绩效风险。
- 发货与入库：逐节点记录创建、承运、签收、接收和可售状态，异常按证据升级。
- 图片与视频：建立信息优先级、事实证据、可读性和单变量创意测试。
- 品牌与备案：核对权利主体、资格、品牌资产和站点范围，区分申请与实际生效。
完整的 4 张主题证据卡见 references/topic-cards.md；1 种原有组合见 references/scenario-patterns.md。
必须交付的结果
- 机会卡
- 竞品与 VOC 证据表
- 差异化规格
- 单位经济模型
- 样品与上市门槛
结尾列出站点、时间窗、数据口径、证据、假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD，不得包装成可直接执行。
执行细节、证据字段和质量检查见 references/playbook.md。
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 · 69 lines · 82 tokens per session scan A 04e60594c56d
sealeap-pixiu-amazon-product-research-fbm is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 982 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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