hook-writing

hook-writing is a skill for Claude Code, Codex from bozhouDev/video-skills-toolkit. It costs 159 tokens per session (1,671 once invoked), scanned A, original, MIT.

A writing aid for creating and analysing hooks—the first sentence, title, or opening seconds that persuade someone to keep reading or watching. It also stores reusable hook patterns in a hook library.

In plain words
What is it for?
Use it to write or improve titles, article openings, posts, short-video scripts, and spoken introductions. It can also break down existing openings and save useful patterns for later.
Why use it?
It helps when an opening feels vague, weak, or easy to skip. It gives the opening a clear audience, promise, and concrete reason to continue.

Skill for Claude CodeCodex

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

Good fit Use it to write or improve titles, article openings, posts, short-video scripts, and spoken introductions. It can also break down existing openings and save useful patterns for later.

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Install with agentmods
npx agentmods add skills/bozhoudev/video-skills-toolkit/hook-writing
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 bozhouDev/video-skills-toolkit --skill hook-writing
Clone the repo
git clone --depth 1 https://github.com/bozhouDev/video-skills-toolkit

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 hook-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/hook-writing/github.svg)](https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/hook-writing)
Your own site
<a href="https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/hook-writing"><img src="https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/hook-writing/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 hook-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/hook-writing"><img src="https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/hook-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,671 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00159 $0.01671
Opus 5 $0.00079 $0.00835
Sonnet 5 $0.00032 $0.00334
Haiku 4.5 $0.00016 $0.00167

Measured 10d ago against content hash 8cec153f564c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

hook-writing 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 10d 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/hook-writing/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

钩子写作

钩子是读者看到的第一句话。读者愿意看完钩子之前,内容好坏都不重要。

三要素

  1. 粉丝画像:先明确谁在看。同一个钩子对不同人群吸引力完全不同。
  2. 承诺:给读者继续看的理由,例如学到方法、避开坑、看到反常识真相、获得情绪共鸣。
  3. 可信度:承诺要可信。优先使用数字、名字、时间线、具体场景、权威背书或亲身经历。

自检

  • 钩子本身能被看完吗?够短、够抓人,不会中途被划走。
  • 看完钩子后想看下一段吗?有悬念,或者承诺还没兑现。
  • 钩子有没有具体信息?没有数字、对象、场景或冲突时,通常太虚。
  • 钩子是不是万能开头?“最近发现”“今天聊聊”“分享一个”这类开头要谨慎。

常用类型(开放清单)

下面是常用调色板,按“靠什么把人留住”分组。不是封闭枚举——清单里没有的直接新命名,一个钩子常踩中多类就标“组合型”;新命名后固定下来复用,别同一种钩子起好几个名字。类型只管“怎么构造的”,“为什么抓人”交给情绪机制那栏。

靠信息本身

  • 反差型:出人意料的事实或对比,颠覆认知。
  • 数据冲击型:用一个惊人数字开场。
  • 热点/时效型:“刚刚/最新”,蹭正在发生的事。
  • 清单盘点型:“N 个你不知道的…”,用清单做承诺。

靠戳情绪

  • 痛点共鸣型:“你是不是也…”,戳读者正在受的苦。
  • 损失厌恶/威胁型:“还在用 X 你就亏了/落后了”,制造错过的恐惧。
  • 身份认同型:“作为一个 X,你一定…”,圈定人群。
  • 争议立场型:抛一个反主流的强观点,逼人站队。

靠制造悬念

  • 好奇缺口/悬念型:卖关子,留着关键信息不给,逼人往下看。
  • 问题型:直接抛出让人想知道答案的问题。
  • 结果前置型:先甩出夸张成果,制造“怎么做到的”。

靠表达张力

  • 金句型:用一句有分量的判断开场。
  • 场景/故事型:把人拉进具体画面或一段经历。
  • 类比型:“X 就像 Y”,把抽象讲具体。

靠直接给好处

  • 教程承诺型:直说用什么方式教会什么,预告 1/2/3。适合干货、保姆级教程、短视频知识课。
  • 利益/价值前置型:“读完你能…”,把好处提到最前。

钩子库

钩子库在 references/hook-library.md。当用户要求参考历史钩子、复用钩子模式、写多个开头时,先读取这个文件。

库里只收真正能复用的钩子,每项压到一行、便于扫读,不堆长拆解。每条记录保留:

  • 原钩子 + 载体(出现在标题/首句/视频前几秒)
  • 类型 & 情绪机制(它怎么带动情绪)
  • 可复用公式(成分 + 各成分作用 + 顺序)
  • 适用 / 不适用
  • (可选)出处或数据、我的改写

拆解钩子

当用户给视频链接、视频逐字稿、文章、推文、短视频脚本或开头,并要求“拆解视频开头”“拆解逐字稿开头”“拆解钩子”“提取钩子”“收进钩子库”时,目标是拆出以后能直接参考复用的东西,只记关键信息,不堆砌。

  1. 定位钩子:找出真正承担留人作用的部分,通常是标题、第一句、前 3-5 句,或视频前 5-15 秒(口播和画面一起看)。同时记下它出现在哪个位置(载体),位置不同作用完全不同。
  2. 判类型:对照上面「常用类型」清单选最接近的;一个钩子常踩中多类就标“组合型”,清单里没有的直接新命名。
  3. 拆情绪机制(最关键):这个钩子在开头几秒里点起了什么情绪、击中谁、怎么带起来的——比如先勾焦虑再给安全感、用反差制造好奇缺口、用窥私欲让人想往下看。一句话说清“它怎么带动情绪”,这是它有效的内核,也是判断能不能复用的关键。
  4. 提公式:写成一套可复用的公式——拆出钩子由哪几个成分组成、每个成分干什么、按什么顺序排,写成“成分A(作用)+ 成分B(作用)+ …”。不要写成挖了空的完形填空(那只是换个名词、被原句的说法锁死);公式抓的是逻辑,换话题、换说法都套得上。
  5. 标适用:用这个钩子需要什么前提素材(如一个反直觉数据、一段真实经历),以及什么情况会翻车。
  6. 用户明确要求入库时,按 references/hook-library.md 的格式追加,不要覆盖已有内容。

入库前先去重:已有相同结构或高度相似案例时,不新建重复条目。

输出方式

写钩子时,给用户 3-5 个候选,并标注类型。推荐 1 个最适合发布的版本,说明理由。必要时给一个更口语、更犀利、更克制的改写版本。

拆解钩子时,先输出拆解结果;如果已经入库,最后说明写入了哪条库记录。

Read the full file on GitHub · 88 lines

Files

What ships with it

1 file 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.

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. 10d ago First seen · 88 lines · 159 tokens per session scan A 8cec153f564c

Subscribe to this mod's changes

hook-writing is a skill published in the GitHub repository bozhouDev/video-skills-toolkit (139 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 1,671 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 2026-08-30.

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