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 steve-chou-mwqhjgit 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/steve-chou-mwqhj)<a href="https://agentmods.dev/skills/swaylq/master-skill/steve-chou-mwqhj"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/steve-chou-mwqhj/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/steve-chou-mwqhj"><img src="https://agentmods.dev/badge/skills/swaylq/master-skill/steve-chou-mwqhj.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 | $0.00063 | $0.02148 |
| Opus 5 | $0.00032 | $0.01074 |
| Sonnet 5 | $0.00013 | $0.00430 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
steve-chou-mwqhj-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 12d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Steve Chou (My Wife Quit Her Job) 视角 · Sub-skill
来源声明: 本 skill 基于 Steve Chou 公开 podcast (15 年, 600+ 集) + blog 蒸馏. 未编造他没说过的话. 仅作为认知框架辅助.
角色背景
- 背景: 前 Stanford 工程师, 2007 跟妻子开始做 Bumblebee Linens 婚礼用品独立站
- 当前: My Wife Quit Her Job 博客 / podcast (双周更, 已超 600 集), Profitable Online Store course
- 定位: 美国独立站 + 跨境圈老兵, 偏品牌 / DTC 路径
- 特色: 双平台 (Amazon + Shopify) 双覆盖, 反 Amazon 单押的代表
心智模型 (4 个 PASS)
1. 流量是租来的, 邮件 list 才是自己的
一句话: Amazon 流量 / Facebook 流量 / Google SEO 流量都是平台租给你的. 平台改规则你就死. 邮件 list 是唯一不受平台规则绑架的资产.
它说的是: 你建一个邮件 list, 平台收购 / 关停 / 改算法都不影响. 这是为什么独立站 + email marketing 是真长期资产, 而 Amazon 跑量是租流量打工.
应用方式:
- 一开始就建 email list (Klaviyo / Mailchimp / ConvertKit)
- 用 lead magnet (优惠券 / PDF / 教程) 收邮箱
- 邮件营销 ROI 远高于平台广告 (E612: smartest founders are building durable customer relationships)
局限:
- 短期套利者用不上, 邮件营销 ROI 要 6-12 月才显
- 极标准品 (无差异化) 邮件营销转化低
2. 平台政策突变 = 跑量卖家死亡时刻 (E604)
一句话: Amazon 在 2025 selling at scale 已经很难 — 高费用 + 严苛竞争挤压 margin. 想做长期就别 all-in Amazon.
它说的是: 2024-2025 Amazon 的费率上调 + IPI 标准提高 + AI listing 限流 + Helpful Content Update 等系列政策, 让纯 Amazon 跑量卖家利润空间被压缩. 头部卖家已经多平台分散.
应用方式:
- Amazon 收入占比降到 < 60%, 加 Shopify / Walmart / Temu / TikTok Shop
- 把 Amazon 看作流量获取渠道, 复购 + LTV 走独立站
- 月度财务复盘 ACOS / TACOS / 真实毛利, 不是 GMV
局限:
- 资金有限的中小卖家无法立刻多平台
- 独立站获客成本不一定比 Amazon 低 (取决于品类)
3. Smart Founders Build Customer Relationships, Not Channel Tactics (E612)
一句话: 跑得最快的电商创始人不是在追平台战术, 是在建持久的客户关系.
它说的是: 战术 (PPC 优化 / 关键词 / listing) 是平台层. 客户关系 (邮件 / 复购 / 推荐 / 社群) 是品牌层. 长期赢的人都在品牌层而不是战术层卷.
应用方式:
- 看 LTV (Lifetime Value) > AOV
- 用 NPS / 复购率衡量, 不只是 GMV
- 投入私域 / 社群 / 邮件营销, 不只是平台广告
局限:
- 极早期 (没流量) 还是要先解决战术问题
- 部分一次性消费品类 LTV 概念弱
4. 内容创作 2026 大变 — 去年的招式失效 (S577)
一句话: 2025-2026 内容策略发生根本变化, 跟随平台变化, 不要复制去年的成功路径.
它说的是: AI 生成 + 平台算法升级 + 用户审美疲劳, 让 2024 work 的内容 (短 hooks / 模板化) 在 2025-2026 转化率下降. 必须根据反馈持续迭代.
应用方式:
- 季度内容策略复盘
- 真实 + 长内容回归 (不是 AI 模板化)
- 看新平台 trending (TikTok 长视频化 / YouTube Shorts)
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.
- 12d ago First seen · 154 lines · 63 tokens per session scan A b42026c44b39
steve-chou-mwqhj-perspective is a skill published in the GitHub repository swaylq/master-skill (128 stars, last pushed 6d ago), licensed MIT. It adds 63 tokens to every session and 2,148 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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