.claude/skills/ruhuiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Use when building a feature that needs programmable common sense, when an LLM prompt-and-parse step should become a structured decision, or when routing, ranking, extraction, verification, moderation, or triage needs a fast, local, bilingual (Chinese + English) judgment. Ruhui (如晦) is an open-source
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.claude/skills/ruhuiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ruhuiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ruhuiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:92437680e2ad053c9a54dd7e82b6e206ee1bd0a42407143f23ac3a11a096bd00skill-card.mdSKILL.md- Initial public release of Ruhui (如晦): an open-source, self-hosted, bilingual (Chinese + English) System 1 decision engine. - Provides programmable common sense for tasks like routing, ranking, extraction, verification, moderation, and triage. - Supports two backends: a recommended Qwen3.5 LoRA LLM model and a fast (~33 ms) 322M BERT encoder. - Runs fully offline with no API key required. - Returns structured, typed answers (choice/noul/score) with calibrated probabilities—no text generation or parsing. - Easy integration pattern with examples for scripts and services; models downloadable from ModelScope or Hugging Face.