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https://github.com/XBuilderLAB/cheat-on-content

You're reading this. The skill predicted it. A workflow that turns every post into a calibrated experiment—score, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month — not luck, system.
https://github.com/XBuilderLAB/cheat-on-content

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You're reading this. The skill predicted it. A workflow that turns every post into a calibrated experiment—score, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month — not luck, system.

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README 

          


  Cheat on Content




Cheat on Content





For content creators — a skill that turns every post into a calibrated experiment.






You're reading this. The skill predicted it.


It turns every "I feel this will go viral" into a calibrated experiment.


It took me from zero to 1M followers in a month. It said I'd write this. I did.


Your doubt — predicted too.






  English

   · 

  简体中文






Version

 

License




---



## 🎬 What it actually does



Most creators live in the same gambling loop:



> Publish → Numbers come in → Learn nothing → Roll the dice again



A creator who's shipped 200 pieces is barely 10% sharper than someone who's shipped 1 — because they never **kept books** after each round.



**Cheat on Content** makes every judgment get logged, retrospected, absorbed into the next:



📊 Score → 🎯 Blind-predict → 🚀 Publish → 📈 T+3d retro → 🧬 Evolve your rubric



This isn't motivation. It's **compounding** — every piece you don't retro is silently eroding your ability to see yourself.



One month in = you have a hit-formula that's **only yours**.

Three months in = you're 10× sharper than your first-day self.



---



## 🌀 Origin



> I never believed in fate. Until this skill made me film a video — and predicted exactly how much traffic that video would pull.

>

> I tried to break it. I told my audience. I hoped collective observation would collapse the wave function and shift the trajectory.

>

> The data was accurate.

>

> I didn't escape fate. I just moved from first-order to second-order.

>

> If even my awakening — even my audience's observation — was already in its prediction, then right now, reading this:

> are you here out of curiosity, or just closing the algorithm's last move?

>

> — *the creator*



---



## ⚖️ How it differs from other "creator tools"



| Others | This |

|---|---|

| Give you "inspiration" | Make **your own intuition** measurable |

| AI writes for you | AI **judges** for you — the script stays yours |

| Ship 10 versions, A/B test | Ship one — **bet** in writing, settle the books with data |

| Static dashboard | An **evolving rubric** — your formula 3 months from now isn't the starting one |



In a sentence: other tools help you "ship more." This helps you "judge sharper."



---



## 🤔 Can't I just use ChatGPT / DeepSeek / Doubao?



Those are **general assistants** — they tell everyone the same thing. You ask "will this go viral?" and the answer is fitted to global average opinion, not your channel. Ask again tomorrow — same answer. **It doesn't remember you. It doesn't change because of you.**



This is **your own ops expert** — serving only your one channel:



- The scoring formula is reverse-engineered from **your** history, not the global training distribution

- Every piece you ship updates its understanding — by month three, judgment accuracy is 10× sharper than day one (**auto-evolving**)

- It knows your benchmark account, your cadence, the last three reasons you flopped — things ChatGPT forgets after the first reply



General LLMs help everyone. This helps **your** account.



---



## 🛡️ Why the loop actually evolves



📝 **Every piece is logged**: Score and prediction get written before publish, archived end-to-end. Three days later you settle accounts — you see exactly where you were sharp, where you were off. No more vague "I feel this one didn't land."



🔁 **It gets sharper**: Three same-direction misses in a row, the tool actively prompts you to upgrade your scoring formula. **You don't have to remember — it remembers for you.**



🛡️ **Upgrades have a brake**: Switching the formula requires re-scoring all historical samples — only released if it ranks more accurately than the old. Plus a cross-model independent audit — **so you can't fool yourself.**



🪒 **The rubric is a workbench, not a museum**: Observations refuted by data get deleted; observations absorbed into formal dimensions also get deleted. It only holds what's most useful right now.



---



## 📦 Install



```bash

git clone https://github.com/XBuilderLAB/cheat-on-content.git

cd cheat-on-content

bash install.sh

```



> ⚠️ **Upgrading from v0.x?** Run `/cheat-migrate` in your content project after `git pull`. The 1.3 → 1.4 migration is **BREAKING for blind-channel integrity** — it splits `rubric_notes.md` so the blind sub-agent can't leak actuals. Without migrate, blind scoring will keep flagging `non_blind_warning`. See [CHANGELOG](CHANGELOG.md) and [migrations/1.3-to-1.4.md](migrations/1.3-to-1.4.md).



14 sub-skills are symlinked into your agent's skill directory. One install, every content project gets it.



**Supported agents**: Claude Code (default) · Codex (`bash install.sh --codex`) · Both (`bash install.sh --all`)



> Frozen version: `bash install.sh --copy` / `bash install.sh --codex --copy`

>

> Uninstall: `bash uninstall.sh` / `bash uninstall.sh --codex` (your content data is not touched)



---



## 🚀 First run



In your content project directory, open a skill-compatible agent and say:



```

初始化 cheat-on-content

```



(or `init cheat-on-content`)



Five yes/no questions complete onboarding. **Strongly recommend importing a benchmark account** — 5–10 samples and the tool gets an anchor immediately. Without one, your first 5 predictions land at ±50% precision.



---



## ⚡ Daily use



```

score this scripts/<...>.md       → grade only

start prediction scripts/<...>.md → blind prediction + decision log

shot scripts/<...>.md             → create video folder + buffer +1

shipped https://...                → buffer -1

retro videos/<...>/                → T+3d data + retrospective

status / fetch trends / find topic / bump rubric / find benchmark

```



Hook-aware agents auto-report buffer + pending retros + top candidates at every session start — no need to ask. Other agents: just say `status`.



Full workflow + sub-skill details: see [SKILL.md](SKILL.md).



---



## 📈 Star History





  Star History Chart




---



## 📜 License



MIT. Commercial use, modification, closed-source integration — all fine.



---



*Is this cheating? So was the calculator. So was Google.*

*The future doesn't reward effort — it rewards those who see the pattern first.*



*You reading this line — that's predicted too.*