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Transform natural language into verifiable AI values that honor human diversity. Key Features: - Five-layer skill framework (DEFINING, INSTANTIATING, FENCING, VALIDATING, CONTEXTUALIZING) - Multi-model support (Claude, OpenAI, Groq, Local models) - Bilingual documentation (English + Chinese) - Academic research foundation with 21 peer-reviewed references - Semantic capital design for cross-cultural value alignment This framework enables people to democratically define AI values through clear, verifiable, and culturally-sensitive skill definitions. License: MIT
24 lines
191 B
Text
24 lines
191 B
Text
# Environment
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.env
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.env.local
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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.pytest_cache/
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.mypy_cache/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# OS
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.DS_Store
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Thumbs.db
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# Output
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skill.json
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*.pyc
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