content-remix

content-remix is a skill for Codex from bozhouDev/video-skills-toolkit. It costs 154 tokens per session (2,240 once invoked), scanned A, original, MIT.

A content-rewriting workflow that turns an analysed successful post or video into an original draft for Xiaohongshu or Douyin. It keeps useful communication techniques while replacing the original facts with the creator’s own experience, examples, and views.

In plain words
What is it for?
Use it to develop an original Xiaohongshu post, Douyin spoken script, or Xiaohongshu video draft from a selected example. It can also produce a transfer plan when the target platform or source information is unclear.
Why use it?
It helps adapt a successful piece without merely changing a few words or copying it. It also checks that the source has enough analysis and that the result fits the creator’s audience and platform.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to develop an original Xiaohongshu post, Douyin spoken script, or Xiaohongshu video draft from a selected example. It can also produce a transfer plan when the target platform or source information is unclear.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bozhoudev/video-skills-toolkit/content-remix
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 content-remix
Clone the repo
git clone --depth 1 https://github.com/bozhouDev/video-skills-toolkit

Made for: 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 content-remix

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/content-remix"><img src="https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/content-remix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,240 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 $0.00154 $0.02240
Opus 5 $0.00077 $0.01120
Sonnet 5 $0.00031 $0.00448
Haiku 4.5 $0.00015 $0.00224

Measured 11d ago against content hash 10ba621e1525, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

content-remix 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.

skills/content-remix/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

内容二创

把“这个爆款为什么成立”迁移成“泊舟凭什么能讲这件事”。二创不是同义改写,也不是把原稿换几个名词,而是保留功能机制、替换事实来源、重新确定内容承诺并按平台原生组织。

必读与调用

每次运行先读:

  • references/remix-contract.md:输入合同、原创边界、平台适配器、输出格式和保存约定。
  • <NOTES_VAULT>/我的设定/个人创作方向.md:判断是否符合长期定位。
  • <NOTES_VAULT>/我的设定/受众画像.md:确定目标读者和真实需求。

生成成稿时,再读取并遵循:

  • 已安装的 bozhou-writing-style Skill 及其要求的动态偏好。
  • content-angle:用户没有给出明确新角度时,先确定区别于原内容的角度。
  • hook-writing:生成目标平台标题、封面文案或前三秒钩子时使用。

边界与路由

  • 只消费已经选定、已经拆解的样本。只有原链接、原文或逐字稿时,先交给 viral-video-benchmark 完成判级、证据化八部分拆解和入库;本 Skill 不跳过上游门禁。
  • 正式爆款笔记的 analysis_status 必须是 currentlimited 只允许迁移未受缺失证据影响的机制,并明确降低置信度;stale 必须先重新拆解。
  • 八部分拆解至少要有 可复用点不能照搬本账号适配。缺少任一部分时不生成可发布草稿。
  • 找新选题用 topic-extract,判断值不值得做用 topic-priority,普通改稿用对应写作或润色 Skill,发布后复盘用 creator-data-review
  • 本 Skill 只生成二创方案或内部草稿,不发布、不登记 publication、不上传图片、不写飞书、不采集后台数据。

工作流

1. 锁定样本与目标

确认唯一的爆款拆解笔记、platform + post_idevidence_versionanalysis_version、关联母题、目标平台和目标形式。标题不能充当样本身份。

多个样本或多个母题都可能匹配时,列出候选与证据,让用户选择;确认前零写入。一次二创只设一个主对标,其他样本只能作为补充证据。

目标平台未明确时:

  • 上下文能唯一推出平台时直接使用;
  • 无法唯一推出时先交付二创迁移卡,不同时生成多个平台成稿;
  • 小红书默认以图文为主路径,小红书视频只在用户明确指定时生成。

2. 提炼一个主机制

从八部分拆解中选择一个最值得迁移、且本账号具备事实条件的主机制。把它写成与原句无关的功能链,例如:

圈定人群 → 结果前置制造信息差 → 过程证据建立信任 → 方法清单形成收藏理由 → 行动指令承接需求

同时记录:

  • benchmark_id = {platform}:{post_id}
  • mechanism_id = {benchmark_id}#{简短机制名}
  • mechanism_version = {analysis_version}
  • 该机制需要哪些一手事实才能成立;
  • 发布后什么表现会支持或推翻迁移判断。

不要因为样本数据好,就假定其中每一个表达都有效。观察、传播假设和只能确认相关的指标必须继续分开。

3. 建立原创边界

逐项完成四栏迁移:

  1. 保留功能:用户需求、钩子功能、信任功能、信息推进和行动功能。
  2. 删除来源表达:原句、特色比喻、镜头组合、页面设计、叙事顺序和高度可识别的表达。
  3. 禁止借用事实:原作者身份、经历、客户、收入、结果、评价、数据和素材。
  4. 注入本账号内容:泊舟自己的经历、项目、截图、流程、判断、失败和产品连接。

出现下面任一情况时,判定原创距离不够,重新构思:

  • 标题或钩子只是替换名词;
  • 段落、卡片或镜头与原内容逐段一一对应;
  • 沿用同一案例、数字、结果承诺或独特比喻;
  • 结论与原内容相同,只有语气变化;
  • 去掉来源后,剩下的仍能明显反推出原稿表达。

4. 映射一手素材

沿关联选题的 materials、用户指定文件和相关笔记寻找素材。每个“我做过 / 我发现 / 我的客户 / 我的数据 / 我的结果”都必须能回到用户提供的信息或本地来源。

至少具备以下两项,才生成无占位符的完整草稿:

  • 一个只有泊舟能提供的一手事实、过程、演示或失败;
  • 一个明确属于泊舟的判断,并能说明它与原内容的区别。

素材不足时不得编造。只输出“可迁移机制 + 素材缺口 + 建议补证方式”,或在用户明确接受时生成带 [待补:真实事实] 的内部骨架,并标记“不可发布”。

Read the full file on GitHub · 144 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. 11d ago First seen · 144 lines · 154 tokens per session scan A 10ba621e1525

Subscribe to this mod's changes

content-remix is a skill published in the GitHub repository bozhouDev/video-skills-toolkit (139 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 2,240 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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