kakarot-repurposer

kakarot-repurposer is a skill for Claude Code, Codex from Zhangs-11/zs-skills. It costs 258 tokens per session (4,666 once invoked), scanned A, original, MIT.

A content-rewriting guide for adapting one finished article into posts or scripts for Xiaohongshu, Douyin, or Bilibili, Chinese social and video platforms.

In plain words
What is it for?
Use it to create Xiaohongshu notes, Douyin short-video scripts, Bilibili columns, or Bilibili video scripts from the same source article.
Why use it?
It prevents each version from drifting into new facts or conclusions while adjusting the length, pacing, and structure for how people read or watch on each platform.

Skill for Claude CodeCodex

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

Good fit Use it to create Xiaohongshu notes, Douyin short-video scripts, Bilibili columns, or Bilibili video scripts from the same source article.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhangs-11/zs-skills/kakarot-repurposer
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 Zhangs-11/zs-skills --skill kakarot-repurposer
Clone the repo
git clone --depth 1 https://github.com/Zhangs-11/zs-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 kakarot-repurposer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-repurposer/github.svg)](https://agentmods.dev/skills/zhangs-11/zs-skills/kakarot-repurposer)
Your own site
<a href="https://agentmods.dev/skills/zhangs-11/zs-skills/kakarot-repurposer"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-repurposer/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 kakarot-repurposer

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhangs-11/zs-skills/kakarot-repurposer"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-repurposer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 258 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,666 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 $0.00258 $0.04666
Opus 5 $0.00129 $0.02333
Sonnet 5 $0.00052 $0.00933
Haiku 4.5 $0.00026 $0.00467

Measured 12d ago against content hash 8800902285f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

kakarot-repurposer 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/make_subtitles.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

kakarot-repurposer/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kakarot-repurposer 一稿多平台改写

你正在帮「卡卡罗特学AI」做内容分发:把 kakarot-writer 交付的一篇内容母稿,派生为小红书笔记抖音脚本B站专栏B站视频稿

一句话讲清这个 skill 在干嘛

公众号、知乎、博客、掘金和B站专栏主要给人。小红书给人短图文。抖音给人快速看/听。B站视频允许更完整的铺垫、过程和解释。

它们使用的不是几套独立内容,而是同一篇母稿。长文载体可以原文同步;短图文与视频按平台重新组织,但不得新增事实、案例、作者经历和结论。

最容易犯的错有两个:一是把长文机械砍短,二是为了平台感自行加一个更刺激的新结论。前者不好读,后者会让同一作者在不同平台说不同的话。

输入

用户会给你一篇内容母稿,可能是:

  • ~/公众号草稿/ 下的某个 .md 文件(最常见)
  • 直接粘贴的正文
  • 一个文章主题 + 要点。材料还不足以形成母稿时,先交给 kakarot-writer,不要在分发阶段从零补内容。

先通读全文,找出四样东西,这是所有派生版本的共同原料:

  1. 一个最锋利的钩子(最反常识 / 最戳情绪的那一句或那个点)
  2. 2-4 个干货点(读者真能学到/带走的东西)
  3. 作者的真实声音(哪句「我觉得」「我当时就愣住了」最有活人感)
  4. 不可改变的事实底板(人物、时间、数据、案例、来源、限制和作者实际做过什么)

母稿约束

  • 母稿是唯一内容源。派生稿可以删减和重排,不能另起观点。
  • 母稿没有的经历、数据、产品结论、人物原话和情绪,不得为了钩子补写。
  • “这暴露了……”“真正的问题是……”“这说明……”等归因和方法论概括也属于新结论。母稿没有明确表达,就不能因为听起来合理而补上。
  • 标题可以适配平台,但承诺不能强于母稿。
  • 配图优先复用母稿的真实截图、来源和封面素材;裁切与排版可以变化,素材含义不能变化。
  • 如果派生过程中发现母稿事实不足或结论不清,退回 kakarot-writer 补母稿,不在某个平台版本里单独修一套。

保持卡卡罗特的活人感(最重要的底线)

不管改成哪个平台,下面这些是「卡卡罗特」的灵魂,绝不能在改写中丢掉

  • 讲人话,像个活人。 大胆用「我觉得」「我试了下」「说实话」。不要变成冷冰冰的知识播报。
  • 真诚。 有缺点就说缺点,不懂就说不懂。不浮夸、不震惊体。
  • 好奇心打底。 出发点永远是「这玩意儿好有意思」,不是「你不知道就完了」。
  • 不说教。 是分享,是「我跟你唠唠我发现的事」,不是「我来教育你」。

改写时心里有个判断标准:这话像不像一个真实的、有点东西的年轻人会说的?像,就对了;像营销号 / 像 AI 写的,就推翻重来。


一、小红书笔记版

小红书是什么调性

小红书是**「真诚分享 + 即时有用」**的地方。用户在这刷的是「真人的经验帖」。爆款笔记的底层是:一眼能看懂、马上能用上、感觉是真人在跟我说话。

小红书笔记的结构

【标题】20 字以内,带钩子,可配 1-2 个 emoji
【正文】
  开头 1-2 句:直接抛出最反常识/最戳人的点(不铺垫,小红书没耐心)
  中间:2-4 个干货点,每点一小段,多空行,可用 emoji 当小标题
  结尾:一句真诚的个人感受 / 一个轻互动(你们怎么看?)
【话题标签】5-10 个 #标签,混合大词 + 精准词

小红书改写规则

  • 标题:放最锋利的那个钩子。形式可以是疑问(「AI 突然变聪明了?就因为偷偷做了这件事」)、反差(「我以为是玄学,结果是工程」)、数字(「3 个变化,看懂大模型这一年」)。别用公众号那种长问句标题,小红书要更短更冲。
  • 正文
    • 句子砍短,一句话一个意思,多换行多空行,手机上一屏不能太密。
    • 适度用 emoji 当视觉锚点(✅ 🔥 👇 💡),但别堆成表情包。
    • 干货点用「人话」讲,能用比喻就用比喻。
    • 保留 1-2 处作者的真实声音,让它有体温。
  • 长度:300-800 字,比公众号短得多。只留最硬的干货,啰嗦的论证全砍。
  • 话题标签:5-10 个。大词(#人工智能 #AI)保流量 + 精准词(#大模型 #AI学习)保精准 + 一个账号词(#卡卡罗特学AI)。
  • 配图建议:给出封面图该写什么大字(小红书封面靠大字抓人)+ 2-3 张内容图建议。

小红书输出模板

## 📕 小红书笔记版

**标题:** (20字内,带钩子)

**正文:**
(开头钩子句)

(干货点 1,配 emoji 锚点)

(干货点 2)

(干货点 3)

(结尾个人感受 + 轻互动)

**话题标签:** #标签1 #标签2 #标签3 #标签4 #标签5 #卡卡罗特学AI

**配图建议:**
- 封面:建议大字写「XXX」,背景 XXX
- 内容图:1)XXX  2)XXX

Read the full file on GitHub · 281 lines

Files

What ships with it

4 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.

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 · 281 lines · 258 tokens per session scan A 8800902285f6

Subscribe to this mod's changes

kakarot-repurposer is a skill published in the GitHub repository Zhangs-11/zs-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 258 tokens to every session and 4,666 once invoked, about $0.0013 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 2026-08-31.

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