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 | $0.00079 | $0.00452 |
| Sonnet 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 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 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.
- 8d 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 6d ago), licensed MIT. It adds 159 tokens to every session and 905 once invoked, about $0.0008 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.
Other skills, from other repositories
zach-seller-skill-creator
A Chinese-language guide for Amazon sellers who want to turn repeated work processes into reusable skills for an AI agent.
zach-search-term-analyzer
An analyzer for Amazon Brand Analytics Top Search Terms reports, which show popular searches across Amazon and how clicks and conversions are distributed among products.
zach-search-term-report-analyzer
An Amazon Ads search-term report analyzer for Sponsored Products, Sponsored Brands, and Sponsored Display campaigns. It groups related search terms, measures results over 7, 14, and 30 days, and produces reports in several file formats.
amazon-analysis
Amazon-domain general analysis and multi-endpoint research engine. Handles broad or composite Amazon research requests that span multiple data dimensions or have no single specialized angle. Use when: - user asks for multi-endpoint Amazon research, composite reports, or general Amazon market/product analysis user asks…
amazon-market-trend-scanner
Amazon category trend scanner. Scans Amazon category landscapes to discover trending subcategories, emerging niches, and market shifts. Tracks demand surges, brand consolidation, new entrant waves, price band migration, and margin changes across all subcategories under a parent category. Use when user asks about…
amazon-pricing-command-center
Data-driven pricing strategy engine for Amazon sellers. Given one or more ASINs, auto-detects each product's leaf category, analyzes the pricing landscape, and delivers RAISE/HOLD/LOWER signals with profit simulation. Supports single ASIN or batch (multiple ASINs, auto-grouped by category). Uses ZooData API endpoints…