{"repo":"cozytab/fable5-mode","free":true,"listed":false,"github":"https://github.com/cozytab/fable5-mode","clone":"git clone https://github.com/cozytab/fable5-mode.git","description":"Make Opus 4.8 (or any Claude model) work like Claude Fable 5 — a Claude Code skill + guard hooks (plan gate, model ceiling, per-task enforcement) for Fable-5-grade discipline: plan, self-verify, and route sub-agents, without Fable 5.","language":"Python","stars":120,"topics":["agent-hooks","ai-agents","anthropic","claude","claude-code","claude-skills","fable-5","fable5","llm","opus"],"license":"MIT","category":"ai-agents","readme_excerpt":"fable5-mode English 简体中文 Make Opus 4.8 — or any Claude model — work like Claude Fable 5. A Claude Code skill plus guard hooks that give a non-frontier model Fable-5-grade work discipline: plan-gate, self-verification, and sub-agent routing, enforced mechanically. The skill is invoked as fable-mode ; its premise: output quality = model capability × work discipline --- Quickstart The skill works on its own; step 2 is optional (it turns the discipline into hard blocks). Claude replies in your language even though the skill is authored in English. Design intent & what it changes Why it exists. Weaker models mostly don't fail by being dumb in the moment; they fail by process : thinking while typing and changing their mind halfway, declaring \"looks right\" without running anything, fanning work out with no verification, and quietly stopping mid-task. Those are process failures, and process is fixable with structure. Since the \"discipline half\" of frontier output is model-independent, you can hand a cheaper model the working habits of a stronger one and recover a real chunk of the gap — paying in orchestration steps instead of a bigger model. What you actually get. - Thinking happens in the cheapest phase (a written plan gate), not mid-implementation. - \"Done\" means an acceptance command passed — not \"looks right.\" - Critical output survives an adversarial refute pass before it ships. - Context stays clean across long runs, via external SPEC/PROGRESS memory instead of a bloated trans","default_branch":null,"files":null,"tree":[],"storefront":"/r/cozytab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cozytab/fable5-mode/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}