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cozytab

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@cozytab

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cozytab provides fable-mode, a work-discipline protocol that elevates non-frontier model output to Fable-5-grade quality via six orchestration levers.

Skills Distribution
DomainAI Models & ...Model Output Quali.. (40%)Orchestration & Pl.. (30%)Adversarial Self-V.. (20%)Context & Checkpoi.. (10%)

Agent Skills by cozytab

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Frequently Asked Questions About cozytab

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What tasks can I accomplish with cozytab's fable-mode skill?

Fable-mode raises output quality of Opus 4.8 or any non-frontier model to Fable-5-grade by applying six levers: plan gate, small-card execution, adversarial self-check, real-product verification, context hygiene, and checkpoint autonomy. It trades extra orchestration for single-pass quality.

Who should use the fable-mode skill?

Engineers and practitioners running non-frontier models who need frontier-grade, single-pass results on quality-sensitive work. It suits users willing to spend extra orchestration effort in exchange for disciplined planning, self-verification, and clean context management.

How is fable-mode activated during a session?

It activates only on explicit request, such as 'use fable mode', 'work like Fable 5', 'rigorous mode', or the Chinese '严谨模式', or automatically when the project contains a .fable/ directory whose hooks handle arming. It never auto-triggers on task size or generic quality phrases.

Does fable-mode turn on automatically for important tasks?

No. It deliberately does not auto-trigger merely because a task is large, important, or quality-sensitive, nor on vague phrases like 'do it well'. If a task looks like it would benefit, the assistant asks the user whether to enable fable-mode instead of assuming.

What are the prerequisites for using fable-mode?

You need a model session such as Opus 4.8 or another non-frontier model, plus either an explicit activation phrase or a project pre-armed with a .fable/ directory. No other dependencies are specified in the manifest.