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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.

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.

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

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

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.

📝 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.

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 and 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)

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.

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.

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.