
Cheat Bump: Rubric Upgrade
Proposes and runs guarded upgrades to a content-scoring rubric or its bucket boundaries
- Repository
- XBuilderLAB/cheat-on-content
- Stars
- 7,443
- Licence
- MIT
- Files
- 1 file
What it does
This skill teaches an agent to manage a personal content-scoring formula (a rubric that rates posts). When you ask to change the formula's weights or dimensions, the agent expands your request into a full equation, re-scores past posts through a separate blind sub-agent, checks whether the new ranking matches real view counts, and asks a cross-model reviewer to audit the result before anything is saved. A lighter mode only re-derives the score bucket boundaries without touching the formula.
Great for
- Creators who keep a prediction log and want to recalibrate their content scoring against real performance
- Users of the cheat-on-content toolkit who already have rubric_notes.md, predictions files and state files set up
Skip it if
- People who want a general content idea or writing tool: it does nothing without the surrounding cheat-on-content project files
- Small sample sizes or noisy data: the skill itself warns that conclusions from few samples are weak, and a rubric change based on them can mislead
Try asking
- “bump rubric: change the engagement weight from 1.5 to 2.0 and drop the NA dimension”
- “--bucket-only: my account has grown, recalibrate the score buckets”
- “我想加一个维度 to track memetic shareability”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
cheat-bump.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip cheat-bump.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip cheat-bump.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Give exact numbers in your proposal (for example ER 1.5 to 2.0); the skill refuses to guess vague requests like 'raise ER a bit'.
- Expect the skill to abort if the sub-agent tool is unavailable; use --bucket-only for offline work instead.
- Treat the rank-consistency result as internal only: the skill itself says the final decision must wait for the cross-model audit.
What's inside
- SKILL.md
Redistributed unmodified from XBuilderLAB/cheat-on-content under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.