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.