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-xiezhi-amazon-product-selection-eight-gatesgit 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-xiezhi-amazon-product-selection-eight-gates)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-product-selection-eight-gates"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-product-selection-eight-gates/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-xiezhi-amazon-product-selection-eight-gates"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-xiezhi-amazon-product-selection-eight-gates.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 | $0.00057 | $0.01201 |
| Opus 5 | $0.00028 | $0.00600 |
| Sonnet 5 | $0.00011 | $0.00240 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
sealeap-xiezhi-amazon-product-selection-eight-gates 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 5d 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 选品八道闸门
目标
用八个相互独立的门槛把候选从有趣方向推进到可审计立项，任何关键证据缺失都保持 HOLD。
适用任务
- 对候选做完整立项审查。
- 建立高成功率选品 SOP。
- 定位候选卡在哪个环节。
开始前要拿到
- 产品事实、目标站点和精准词。
- 直接竞品、评论层级、销量、广告与历史趋势。
- 单位经济、供应链、MOQ、差异化和变体方案。
- IP、产品安全、认证、政策和库存时效证据。
缺少字段时列出证据缺口，并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN；不要补造数据。
不可妥协的边界
- 第三方数据均为估算或代理证据；Amazon 一方报告、后台实时字段和产品事实优先。
- 经验阈值只能作为可调起点，必须展示敏感性分析，不能写成 Amazon 官方规则。
- 不得捏造销量、搜索量、CPC、CVR、成本、认证、产品属性或消费者需求。
- 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。
- 不输出或保存素材来源身份、账号、链接、作品编号、互动数据、原始话术或其他可反查来源的线索。
- 不得跳过 IP、产品安全或认证闸。
- 不得用异常竞品、违规增长或不可比口径美化评分。
工作流
1. 精准流量闸
必须有能锁定直接竞品和购物意图的属性/对象/场景词。
2. 运营难度闸
比较低评论正常样本与头部样本，判断新品是否可在合规条件下获得转化。
3. 经济效率闸
核算广告前贡献、CPA、ACoS、资金占用和周转，不用模糊投产比。
4. 差异与供应闸
差异有需求证据、搜索页可见且供应商能按质量、成本和 MOQ 实现。
5. 时间与周期闸
旺季、活动和上架窗口与生产物流倒排一致，并有历史周期证据。
6. 合规与 IP 闸
完成专利、商标、版权、产品安全、认证、类目和宣传声明核查。
7. 库存与变体闸
以可达份额、销售窗和变体需求分配首批库存，设置补货和退出条件。
8. 总决策
汇总每闸证据、置信度与失败成本，只有关键闸均通过才给条件式 GO。
判断标准
- 低评论/头部销量比、投产比 120%、未来三到五个月等都属于可调代理指标。
- 任何一个关键闸为 UNKNOWN 时，总结论最多为 HOLD。
- 成功率必须用真实立项的后验结果计算，不能用筛选通过率替代。
第三方 MCP 数据
需要外部关键词、竞品、评论或公开网页证据时，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。 - 凭证只从环境变量读取，不进入参数、URL、Skill、终端输出或 Git。
- 可能计费的
tools/call先展示 Provider、工具、无密钥参数、预计成本与输出位置，核对已有授权；仅在授权覆盖本次范围时使用--allow-cost，该标志不是费用上限。 - 脱敏结果用
--output写入 Skill 包之外的任务私有目录；不假设安装位置受仓库.gitignore保护。第三方数据标为估算或代理证据。 - 失败一次后记录缺口，不以重复付费重试掩盖不可用状态。
必须交付的结果
- 八闸评分卡
- 证据与缺口台账
- 单位经济敏感性
- 库存/时间倒排
- GO/HOLD/NO-GO 决策书
结尾列出站点、数据窗口、证据来源、关键假设、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.
- 5d ago First seen · 98 lines · 57 tokens per session scan A 7214a40e7d6c
sealeap-xiezhi-amazon-product-selection-eight-gates is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 1,201 once invoked, about $0.0003 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 2026-09-07.
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