Does it support references between different laws?

Yes, it detects mentions of other laws or articles and creates source references. If the referenced law is missing from the repository, it automatically adds TODO comments for manual implementation.

What kind of logic can it interpret?

It maps legal phrases (like 'at least', 'unless', or 'if... and...') to logical operations such as GREATER_THAN_OR_EQUAL, NOT, AND, OR, and IF statements.

How does it handle currency and monetary values?

It follows a strict eurocent conversion rule, transforming values like € 795,47 into integer eurocents (79547) to ensure computational accuracy and avoid floating-point errors.

What is the primary purpose of this skill?

This skill is designed to take human-readable legal articles and transform them into structured machine-readable sections within YAML files, allowing laws to be processed as execution logic.

Law Machine-Readable Interpreter

Name: Law Machine-Readable Interpreter
Author: MinBZK

byMinBZK

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Productivity & Workflow

Converts legal text into structured, machine-readable execution logic and computational YAML parameters.

About

The Law Machine-Readable Interpreter skill automates the translation of complex legislative text into executable digital logic. By analyzing Dutch law files, it identifies key computational elements such as input parameters, constants, and logical conditions, generating complete machine-readable sections for the RegelRecht framework. It streamlines the process of turning static statutory text into functional code by handling eurocent conversions, cross-law references, and competent authority mapping, making it essential for developers working in legal tech and computational law.

Key Features

Automated extraction of legal parameters, definitions, and constants
Cross-law reference detection with automated dependency TODOs
Traceability generation linking execution logic to specific legal articles
Logic mapping for legal conditions using AND, OR, and IF operations
Precise conversion of monetary amounts to integer eurocents
3 GitHub stars

Use Cases

Modeling complex statutory logic into structured YAML for API consumption
Translating Dutch legislation into executable digital decision rules
Standardizing legal data structures for government automation projects

About

Key Features

Automated extraction of legal parameters, definitions, and constants
Cross-law reference detection with automated dependency TODOs
Traceability generation linking execution logic to specific legal articles
Logic mapping for legal conditions using AND, OR, and IF operations
Precise conversion of monetary amounts to integer eurocents
3 GitHub stars

Use Cases

Modeling complex statutory logic into structured YAML for API consumption
Translating Dutch legislation into executable digital decision rules
Standardizing legal data structures for government automation projects