traffic-secrets

traffic-secrets is a skill for Claude Code, Codex from muyuhill/100books-to-skills. It costs 70 tokens per session (2,238 once invoked), scanned A, original, MIT.

A marketing framework for finding where potential customers already gather and attracting their attention with a hook, story, and offer.

In plain words
What is it for?
Use it to identify channels and search terms, plan content or advertising, and structure messages that lead readers toward an action.
Why use it?
It helps replace random promotion with a clearer choice of audiences, places, messages, and next actions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify channels and search terms, plan content or advertising, and structure messages that lead readers toward an action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/muyuhill/100books-to-skills/traffic-secrets
Install

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.

Any agent
npx skills add muyuhill/100books-to-skills --skill traffic-secrets
Clone the repo
git clone --depth 1 https://github.com/muyuhill/100books-to-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for traffic-secrets

README.md
[![agentmods](https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/traffic-secrets/github.svg)](https://agentmods.dev/skills/muyuhill/100books-to-skills/traffic-secrets)
Your own site
<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/traffic-secrets"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/traffic-secrets/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.

agentmods 80×15 button for traffic-secrets

Your own site · 80×15
<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/traffic-secrets"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/traffic-secrets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,238 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.02238
Opus 5 $0.00035 $0.01119
Sonnet 5 $0.00014 $0.00448
Haiku 4.5 $0.00007 $0.00224

Measured 12d ago against content hash 4a3f96a562e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

traffic-secrets 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.

skills/流量秘密-traffic-secrets/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Traffic Secrets — Russell Brunson 流量框架

核心理念

流量不是"搞来的",是"吸引来的"。你的工作不是追着用户跑,而是弄清楚他们在哪聚集,然后在那地方抛出足够好的钩子。

全书 20 个秘密,这里提炼跟内容创作者最相关的 6 个核心框架。


框架一:Dream 100(梦想 100)

一句话:列出你理想读者/客户已经聚集的 100 个地方,然后逐个渗透。

Dream 100 分两类

类型 是什么 例子(公众号场景)
兴趣聚集地 用户因为兴趣而聚集的地方 同类公众号、知识星球、微信群、B站UP主、小红书博主
搜索聚集地 用户主动搜索关键词的地方 微信搜一搜、知乎、百度、抖音搜索

怎么列 Dream 100

  1. 列出 20-100 个你目标用户已经在关注的同类创作者/账号
  2. 列出 20-100 个你目标用户会搜索的关键词短语
  3. 每年更新 2-3 次:剔除无效渠道,添加新发现的渠道

公众号场景应用

用户列出"写 AI 工具教程"的 Dream 100:

  • 同类公众号:量子位、机器之心、APPSO、爱范儿...
  • 聚集地:即刻 AI 圈、知乎 AI 话题、B站 AI 教程区、掘金 AI 板块
  • 搜索关键词:"AI 工具推荐""Claude 怎么用""AI 做 PPT""副业 AI"

行动:选一个聚集地,持续在那里"出现"(评论、投稿、合作),而不是等用户自己找过来。


框架二:Hook → Story → Offer(钩子 → 故事 → 提议)

全书最重要的框架。任何一篇文章、一条视频、一个广告,不出效果,一定是钩子、故事或提议出了问题。

┌──────────────────────────────────────────────┐
│  HOOK     →  钩子:在 1 秒内抓住注意力       │
│  STORY    →  故事:建立连接 + 提升感知价值    │
│  OFFER    →  提议:让读者采取行动             │
└──────────────────────────────────────────────┘

钩子(Hook)

钩子是让正在刷手机的人停下来的东西。

钩子可以是什么

  • 标题(公众号文章标题、视频标题)
  • 封面图(公众号首图、视频缩略图)
  • 开头第一句(文章前三行、视频前三秒)
  • 邮件主题行
  • 朋友圈文案第一行

钩子的本质:制造"我必须点进去看看"的冲动。

钩子检查清单

  • 它只说给"某一种人"听(精准 > 普适)
  • 它让人产生情绪(好奇、惊讶、共鸣、愤怒)
  • 它暗示"点开有好处"
  • 它不说完(留悬念)

故事(Story)

钩子停了用户 1 秒,故事让你用 30 秒跟他建立连接。

故事的两个核心作用

  1. 提升提议的感知价值:让读者觉得"这个东西值得"
  2. 建立你作为"有吸引力的人物"的连接:让读者认识你、信任你、想继续关注你

故事不一定是长篇:公众号场景下,开头一段个人经历就是故事。关键在于真诚——"我之前也跟你们一样不知道怎么搞流量"比"我教你怎么搞流量"有力得多。

提议(Offer)

每次内容末尾必须有一个明确的"下一步行动"。

提议不一定是卖东西

场景 提议
公众号文章 关注+星标、点在看、转发朋友圈
短视频 点赞、评论、关注、进粉丝群
朋友圈 评论"想要"领取资料
付费场景 购买课程、加入星球

布鲁森的铁律:如果用户没有按你说的做,问题不是用户不听话,是你的提议不够好。要么加赠品,要么讲更好的故事提升感知价值,要么换一个更低的行动门槛。

诊断框架

任何内容不出效果 → 检查三个东西:钩子够不够抓人?故事够不够建立连接?提议够不够让人行动?


框架三:Work Your Way In(免费渗透) vs Buy Your Way In(付费进入)

免费渗透(Work Your Way In)

在 Dream 100 聚集地里,通过提供价值逐步建立存在感:

  1. 评论/互动:在同类大号下持续输出高质量评论
  2. 投稿/合作:给聚集地的"地主"提供有价值的内容
  3. SEO/搜索:优化你的内容被搜索到的概率(公众号:标题含关键词)
  4. 社交分发:让读者主动转发,进入他们的朋友圈

Read the full file on GitHub · 201 lines

Changes

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.

  1. 12d ago First seen · 201 lines · 70 tokens per session scan A 4a3f96a562e1

Subscribe to this mod's changes

traffic-secrets is a skill published in the GitHub repository muyuhill/100books-to-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 2,238 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens