cheat-on-content

Convert content intuition into measurable rubric predictions and retrospectives.

12|Updated May 29, 2026

Search Tags:#onboarding #migration #calibration #rubric #prediction #retro #blind-prediction

Ready to run

npx skills add https://github.com/Jason5330/ai-self-eval --skill cheat-on-content

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cheat-on-content
Source: https://github.com/Jason5330/ai-self-eval/tree/main
Command: npx skills add https://github.com/Jason5330/ai-self-eval --skill cheat-on-content

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cheat-on-content provides a governance-friendly calibration loop that converts instinctive content decisions into measurable predictions across a dynamic rubric, enabling consistent improvement.

Core Features & Use Cases

End-to-end workflow: score, blind-predict, execute, retro, and evolve rubric.
Cross-skill rubrics: daily-work, daily-learning, and AI coding with module-wide lifecycle.
Schema migration and onboarding: safe upgrades and migration guidance for long-running projects.

Quick Start

Initialize a new cheat-on-content project, describe your first draft, and start scoring and blind-predicting immediately.

Frequently Asked Questions about cheat-on-content

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does content calibration convert intuition into measurable rubric predictions?▼

To start content calibration, initialize a new project, describe your first draft, and immediately begin scoring and blind-predicting. You can evolve rubrics across cold-start and calibration phases using optional resources under scripts/ and references/.

Can I use schema migration to safely upgrade rubrics in long-running projects?▼

Yes, you can use schema migration to safely upgrade rubrics in long-running projects. Schema migrations ensure safe, auditable evolution of cross-skill rubrics like daily-work and daily-learning without breaking existing data.

What is blind-prediction in a content creation rubric retrospective?▼

Blind-prediction in a content creation rubric retrospective is the process of forecasting content success before execution. Immutable predictions are recorded and later compared against actual outcomes to calibrate and improve future content decisions.

Do I need a root SKILL.md file to manage the content calibration lifecycle?▼

Yes, you need a root SKILL.md file to manage the content calibration lifecycle. It guides activation and lifecycle management, while optional assets and references support onboarding and parallel rubric execution.

What is the best way to maintain auditable parallel rubrics for content scoring?▼

The best way to maintain auditable parallel rubrics for content scoring is using a governance-friendly calibration loop. Immutable predictions and schema migrations ensure safe evolution across module-wide lifecycles for daily-work and AI coding contexts.