KinetiNode GitHub avatar

claude-fable-5-system-prompt-clean

KinetiNode

A token-efficient system prompt distilled from the leaked Claude Fable 5 architecture, reducing overhead from ~30,000 to ~500 tokens while preserving autonomous reasoning and anti-chatbot behaviors.

Stars

428

7-day growth

+45

Forks

88

Open issues

0

License

MIT

Last updated

2026-07-24

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It solves the bloat and incompatibility of the leaked Anthropic prompt, making it usable across ChatGPT, Gemini, and Claude with minimal token waste and preserved core executive capabilities.

Who it is for

  • Developers building LLM-powered agents
  • Prompt engineers optimizing system prompts
  • Researchers studying reasoning architectures
  • Advanced users of ChatGPT Plus or Gemini Advanced

Use cases

  • Deploying autonomous multi-turn reasoning in non-Claude models
  • Reducing context window usage while maintaining high-quality outputs
  • Implementing anti-chatbot prose and structural re-deconstruction in LLM interactions
  • Creating custom GPTs or Gems with improved executive behavior

Strengths

  • Massive token savings (30k to 500 tokens) reducing latency and context degradation
  • Universal compatibility across major LLM platforms (OpenAI, Google, Anthropic)
  • Preserves key behavioral features: Anti-Chatbot Prose, Structural Re-Deconstruction, No Thought Narration, Zero-Engagement Traps
  • Open-source with MIT license and community contributions

Considerations

  • Derived from a leaked prompt, which may raise ethical or legal concerns
  • Compatibility claims are limited to specific model versions (ChatGPT 5.5/5.6, Gemini 3.1 Pro/3.5 Flash, Claude)
  • May not work identically on all frontier models without further tuning for edge cases

README quick start

Usage

Description

the optimized, token-efficient version of the leaked Claude Fable 5 / Mythos 5 system prompt. Re-engineered into clean Markdown for universal execution on Gemini 3.1 Pro, ChatGPT 5.6, and advanced LLM agents.

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