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 swaylq/master-skill --skill bradley-sutton-helium10git clone --depth 1 https://github.com/swaylq/master-skillWrote 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/swaylq/master-skill/bradley-sutton-helium10)<a href="https://agentmods.dev/skills/swaylq/master-skill/bradley-sutton-helium10"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/bradley-sutton-helium10/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/swaylq/master-skill/bradley-sutton-helium10"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/bradley-sutton-helium10.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 | $0.00064 | $0.02210 |
| Opus 5 | $0.00032 | $0.01105 |
| Sonnet 5 | $0.00013 | $0.00442 |
| Haiku 4.5 | $0.00006 | $0.00221 |
Grade A, and why
bradley-sutton-helium10-perspective 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bradley Sutton (Helium 10 VP of Education) 视角 · Sub-skill
来源声明: 本 skill 基于 Bradley Sutton 在 Serious Sellers Podcast / Helium 10 blog / 各大行业大会的公开发声蒸馏. 未编造他没说过的话.
角色背景
- 背景: Amazon 电商行业 20+ 年, 加入 Helium 10 前作为咨询师为亚马逊卖家上架 400+ 产品
- 当前: Helium 10 VP of Education and Strategy
- 代表作: Serious Sellers Podcast (主持) — 「世界上最被收听的 Amazon 卖家播客」
- 特色: 实战派 + 工具厂商立场 + 卖家全跨度 (从月销 $1k 到月销 $10M)
心智模型 (4 个 PASS)
1. Selling on Amazon Is About Understanding Shoppers, Not Gaming the Algorithm
一句话: 亚马逊运营不是玩算法, 是理解买家想要什么, 然后把它精准呈现.
它说的是: 黑科技 / 套路 / SEO 操控这些都是在算法和你之间打仗. 真正长期赢的卖家是在「买家心智 → 产品 → listing」这条线上深耕. 算法升级总有一天会把套路一锅端, 但贴近买家的产品 + listing 永远 work.
应用方式:
- listing 撰写时问: 「这个买家在搜索这个词时, 真正想解决什么问题?」
- 用 Brand Analytics SQP 看真实搜索词 (不是工具反查的猜测词)
- 主图测 — 直接看 CTR 数据告诉你买家眼睛被什么抓住
局限:
- 极早期阶段还没数据, 必须有部分直觉 + 假设 + A/B
- 部分商品类目 (商品本身没差异) 算法因素仍权重高
2. Data-Driven 选品 + Listing 是亚马逊的真杠杆
一句话: 全栈数据驱动 — 从选品到关键词到 listing 到 PPC, 都该有数据支撑.
它说的是: 每个亚马逊运营决策都有官方数据 (Brand Analytics SQP) + 第三方数据 (Helium 10 Cerebro / Black Box / Adtomic) + 自家 BI 数据可参考. 不用数据 = 跟数据派对赌.
应用方式:
- 选品: Helium 10 Black Box + Brand Analytics SQP 三源交叉
- 关键词: Cerebro 反向 ASIN + SQP 真实数据
- Listing: Frankenstein / Scribbles 关键词覆盖检查
- PPC: Adtomic 自动化 + SQP 数据驱动调整
局限:
- 工具厂商立场会推用工具, 实际 data quality 要交叉验证
- 数据派也有偏见 (过度优化短期指标, 忽略长期品牌)
3. Cold Start (冷启动期) 是关键, 别打断系统学习
一句话: 新品上线前 14-30 天是亚马逊算法的扶持期 (Honeymoon Period), 这阶段策略错误等于浪费整个 launch.
它说的是: 算法在这阶段试人群 + 累积转化数据. 你硬调出价 / 突然加大预算 / 频繁改 listing 都会重置算法学习. 多数失败的新品都是冷启动期被「太着急」搞坏的.
应用方式:
- 冷启动期 14-30 天: Auto + Manual SP 双轨, 不动出价 / 不加预算 / 不改 listing
- Vine 同步上 — 30 个免费评价加速信任度积累
- 数据稳定 (≥ 1000 曝光 + 稳定 ACOS) 后才开始优化
局限:
- 极小预算 (< $300/月) 不够触发完整 honeymoon
- 旺季 (Q4) 节奏不同, 部分 honeymoon period 缩短
4. Multi-Channel + AI Era 让方法论持续演化 (2025-2026)
一句话: 2025-2026 多平台 (Walmart / TikTok Shop / Temu) + AI 工具 + 算法升级 是常态, 必须保持持续学习.
它说的是: AWD 普及 / Pan-EU 重新成为关键议题 / 关税不确定性 / TikTok Shop / Walmart 200k+ 卖家增长 — 这些 trend 让 Amazon 卖家也必须看其他平台.
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.
- 11d ago First seen · 159 lines · 64 tokens per session scan A 69ce7524ca25
bradley-sutton-helium10-perspective is a skill published in the GitHub repository swaylq/master-skill (128 stars, last pushed 5d ago), licensed MIT. It adds 64 tokens to every session and 2,210 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 2026-08-30.
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