Can I automate the field mapping without user approval?

No. To ensure compliance and ground truth, interactive validation via AskUserQuestion is mandatory for every field mapping where a dictionary match isn't found.

Why is snake_case mandatory in this skill?

The skill enforces snake_case to align with PEP 8 standards in Python/Django ecosystems, preventing maintenance debt and mixed-convention errors.

What happens if the mapping confidence is below 80%?

The quality gate will fail. The skill requires additional research or user input to reach an 80% confidence threshold before allowing the mapping to proceed to Gate 2.

What is the primary purpose of the Gate 1 mapping skill?

Gate 1 maps placeholders in regulatory templates to specific backend data sources (like Midaz) while enforcing naming standards and data lineage requirements.

How does the skill handle data lineage?

It requires every field to be prefixed with its domain source (e.g., midaz_onboarding), ensuring that auditors can trace every value back to its origin.

Regulatory Template Mapping Gate 1

Name: Regulatory Template Mapping Gate 1
Author: LerianStudio

byLerianStudio

•

安全与测试

Maps regulatory template placeholders to backend data sources while enforcing strict naming conventions and audit-ready data lineage.

This skill serves as the foundational quality gate for regulatory reporting workflows, ensuring that every template placeholder is accurately mapped to a verified backend data source. It enforces mandatory PEP 8 snake_case conversion and explicit data source prefixing to satisfy BACEN audit requirements for data lineage. By utilizing a hierarchical search through data dictionaries and interactive human-in-the-loop validation, it guarantees that only high-confidence mappings proceed to production, preventing costly compliance errors and technical debt in downstream reporting gates.

主要功能

01Strict 80% confidence threshold enforcement for quality assurance

02Mandatory snake_case conversion for PEP 8 and Django standards

03Hierarchical mapping discovery using local dictionaries and MCP schemas

04Explicit data source prefixing for complete audit traceability

05Interactive validation requiring user approval for every field mapping

0617 GitHub stars

使用场景

01Mapping financial data fields to Brazilian Central Bank (BACEN) regulatory templates

02Standardizing naming conventions across large-scale regulatory reporting systems

03Ensuring data lineage for Midaz onboarding and transactional records

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lerianstudio/ring regulatory-templates-gate1

For use in Claude.ai and ChatGPT

Download Skill