Cheat on Content

给所有想把"感觉"变成可校准预测的内容创作者。方法论通用——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化（播放 / 阅读 / 收听 / 点击）的内容。rubric 是循环的内容，不是循环本身——当前内置一份观点视频 rubric（参考博主 25+ 视频拟合），其他形态可借这套起步并 bump 调权重。强烈建议导入对标账号作为初始信号源（/cheat-learn-from）。触发词："初始化"/"打分这篇"/"启动预测"/"已发布"/"复盘"/"升级 rubric"/"推荐选题"/"抓热点"/"状态"/"找对标"/"learn from"。首次使用必须先跑 /cheat-init。

7,416 stars 975 forksWriting & Content

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add XBuilderLAB/cheat-on-content --skill cheat-on-content

Manual install

git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-content.git /tmp/cheat-on-content
mkdir -p ~/.claude/skills
cp -r /tmp/cheat-on-content/. ~/.claude/skills/cheat-on-content

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 网红作弊器 / Cheat on Content

> 🎯 **方法论通用，rubric 当前内置观点视频版**
>
> **方法论**（5 阶段闭环）：任何能被量化的内容形态都适用——视频 / 文章 / 播客 / Newsletter / 短文 thread。
>
> **当前内置 rubric**：观点类视频（评论 / 时评 / 论说 / 议题讨论 / 个人观点表达），7 个维度由参考博主 25+ 已发样本拟合而来。如果你做其他形态，需要：
> - 自己写一份 rubric（参照 [starter-rubrics/opinion-video-zero.md](starter-rubrics/opinion-video-zero.md) 的格式）
> - 或等内置扩展（长文 / 短文 / 播客 starter 在批次 3 路线图）
>
> 默认假设：**用户是从零开始的新人**（一条视频都没发过）——cold-start 期的预测会**简化**，只要 7 维打分 + 一句话 bet，不强求 bucket 数字（避免 false precision）。已有 5+ 篇数据的老手走 calibration 模式解锁完整 7 组件预测。

把内容创作变成可校准预测循环：**打分 → 预测 → 发布 → 复盘 → 进化 rubric**。

本文件是**总协议 + 路由器**。具体每个阶段的工作流在 `skills/cheat-*/SKILL.md` 各子 skill 里。

## Codex compatibility

Codex 没有 Claude Code 的 slash-command harness。安装到 Codex 后，按自然语言触发同一套路由即可：

- `初始化 cheat-on-content` → 读取并执行 `skills/cheat-init/SKILL.md`
- `打分这篇 scripts/foo.md` → 读取并执行 `skills/cheat-score/SKILL.md`
- `启动预测 scripts/foo.md` → 读取并执行 `skills/cheat-predict/SKILL.md`
- `拍了 ...` / `已发布 ...` / `复盘 ...` / `升级 rubric` / `状态` → 分别读取对应 `skills/cheat-*/SKILL.md`

执行时遵循本文件的三条原则和路由表；不要依赖 `/cheat-*` 命令是否存在。Claude Code 专用 hook（`.claude/settings.json`）仍只在 Claude Code 里自动触发；Codex 中需要用户主动说 `状态` 查看 buffer、待复盘和候选池。

---

## 三条不可妥协原则

任何一条被违反，整个校准循环退化为"凭直觉的自我安慰"。如果用户要求打破其中任何一条，**拒绝执行并说明原因**。

1. **盲预测（Blind prediction）**：预测必须在看到任何实际数据**之前**写完。一旦写完，`## 预测` 段是 immutable——只能往 `## 复盘` 段追加。完整规范：[shared-references/blind-prediction-protocol.md](shared-references/blind-prediction-protocol.md)。**hooks/prediction-immutability.sh 在 harness 层强制执行**。

Read the full skill on GitHub

Details

Skill name: cheat-on-content
Repository: XBuilderLAB/cheat-on-content
License: MIT
Repo updated: 26 October 2026

FAQ

What does the Cheat on Content skill do?

给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化（播放 / 阅读 / 收听 / 点击）的内容。**rubric 是循环的内容，不是循环本身**——当前内置一份观点视频 rubric（参考博主 25+ 视频拟合），其他形态可借这套起步并 bump 调权重。**强烈建议导入对标账号**作为初始信号源（/cheat-learn-from）。触发词："初始化"/"打分这篇"/"启动预测"/"已发布"/"复盘"/"升级 rubric"/"推荐选题"/"抓热点"/"状态"/"找对标"/"learn from"。**首次使用必须先跑 /cheat-init。**

How do I install the Cheat on Content skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add XBuilderLAB/cheat-on-content --skill cheat-on-content. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Cheat on Content popular?

It lives in XBuilderLAB/cheat-on-content, which has 7,416 GitHub stars and 975 forks.

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