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-consumer-electronics-category-growthgit 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-consumer-electronics-category-growth)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-consumer-electronics-category-growth"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-consumer-electronics-category-growth/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-consumer-electronics-category-growth"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-consumer-electronics-category-growth.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 | $0.00159 | $0.00905 |
| Opus 5.5 | $0.00064 | $0.00362 |
| Sonnet 5.5 | $0.00032 | $0.00181 |
| Haiku 4.5 | $0.00016 | $0.00090 |
Grade A, and why
sealeap-amazon-consumer-electronics-category-growth 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 消费电子品类增长
目标
把手册的趋势、选品和运营方案转成“先验证、再投入”的类目决策：任何候选都必须同时通过需求、产品事实、法规/认证、兼容/安全、利润、供应链和生命周期广告闸门。
先读 references/source-and-guardrails.md 和 references/source-map.md。选品读 references/opportunity-map.md；合规与物流读 references/compliance-and-logistics.md；广告读 references/lifecycle-advertising.md。
工作流
1. 分类与作用域
固定 marketplace、product type、无线设备/电子设备/PC/摄影/办公/乐器、供电/电池/无线/射频、目标价带、用途和上市时间。类目名称不能代替 Amazon 当前 product type。
2. 建立候选而非结论
手册关于 AI、绿色、互联以及各站体量/增速品只标 SOURCE_CANDIDATE。回到当前目标站点验证搜索需求、点击/销量代理、竞争、价格、评论、退货和新品表现。
3. 技术事实闸门
建立型号、接口、协议、功率、电压、频段、电池、尺寸、兼容系统、配件、性能测试、保修和安全警告的证据表。不得从图片或竞品猜参数。
4. 合规闸门
按目标国家和具体产品判断 FCC/UL、CE、EPR/WEEE/电池、EEL/EPREL、METI/PSE/无线电等是否适用。手册只是检查起点；使用当前法规、Amazon 合规要求和合格专业意见。未完成前 HOLD_LAUNCH。
5. 供应链与售后
核验危险品/电池运输、头程、仓储、温控/防护、序列化、退货维修、备件和召回能力。当前 AWD/FBA/供应链服务是否接收该产品必须逐 SKU 确认。
6. Listing 与本地化
让规格、兼容、使用限制和包装清单可扫描；目标站点单位、术语、插头/频段/系统必须准确。高客单/专业设备增加对比选择、保修和支持证据。
7. 促销与广告
用当前活动规则、费用、库存和贡献毛利选择促销。广告按新品、成长、成熟阶段设不同目标，但课程 40/30/30 预算等只能作为历史讨论，不是默认设置。
8. 单变量验证
一次只测试一个候选产品假设、兼容信息、创意、关键词组、位置或促销长度。设置安全/退货/库存/利润护栏。
必须交付
- product type、技术事实与站点作用域；
- 当前需求证据与候选评分；
- 合规适用性矩阵及证据状态；
- 物流/售后、利润和库存闸门；
- 生命周期广告草案与一个实验；
GO / HOLD / REJECT。
What ships with it
6 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 · 56 lines · 159 tokens per session scan A b230b0408aab
sealeap-amazon-consumer-electronics-category-growth is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 905 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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