regulatory-templates-gate1

Map regulatory template placeholders to backend data sources with snake_case naming and validation.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/withmartian-sandbox-darkside/ghrc-y-3126672651424eddb640ecc81321a665 --skill regulatory-templates-gate1-withmartian-sandbox-darkside
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: regulatory-templates-gate1
Source: https://github.com/withmartian-sandbox-darkside/ghrc-y-3126672651424eddb640ecc81321a665/tree/main/finops-team/skills/regulatory-templates-gate1
Command: npx skills add https://github.com/withmartian-sandbox-darkside/ghrc-y-3126672651424eddb640ecc81321a665 --skill regulatory-templates-gate1-withmartian-sandbox-darkside

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents downstream compliance errors by mapping regulatory template placeholders to auditable backend data sources with enforced naming and validation rules.

Core Features & Use Cases

  • Interactive Field Mapping: Guides user approval for each placeholder with top suggestions and transformation options.
  • Dictionary-First Discovery: Checks local dictionaries before querying MCP schemas and saves approved mappings as YAML.
  • Compliance Controls: Enforces snake_case conversion, domain-specific data source prefixes, confidence scoring, and mandatory validation to meet Gate 1 pass criteria.

Quick Start

Map placeholders from the provided template to midaz_-prefixed backend fields, convert all names to snake_case, validate each mapping interactively, and save the approved dictionary.

Frequently Asked Questions about regulatory-templates-gate1

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map regulatory template placeholders to backend data sources for compliance?

Map regulatory template placeholders to backend data sources by applying dictionary-first discovery, querying MCP schemas, and interactively validating mappings to output an approved YAML dictionary with metadata.

How does interactive validation work for regulatory field mapping?

Interactive validation for regulatory field mapping guides user approval for each placeholder by providing top suggestions and transformation options, enforcing confidence thresholds to meet Gate 1 pass criteria.

What is the best way to enforce snake_case naming and data source prefixes in compliance workflows?

Enforce snake_case naming and domain-specific data source prefixes during the field mapping process by applying built-in compliance controls that validate naming conventions before saving the approved dictionary.

Can I use local dictionaries before querying MCP schemas for Gate 1 compliance mapping?

Yes, dictionary-first discovery checks local dictionaries before querying MCP schemas, ensuring existing mappings are prioritized and newly approved mappings are saved as YAML files.

Does Gate 1 compliance mapping support confidence scoring for data lineage?

Gate 1 compliance mapping supports confidence scoring by enforcing threshold requirements during the interactive validation of each mapped placeholder, ensuring auditable data lineage for backend sources.

Why do I need to validate regulatory template mappings before generating a YAML dictionary?

Validating regulatory template mappings before generating a YAML dictionary prevents downstream compliance errors by ensuring all field mappings meet confidence thresholds, naming conventions, and mandatory validation rules.