bee:regulatory-templates-gate2

Validate data mappings and field specifications in regulatory template generation.

2|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-regulatory-templates-gate2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bee:regulatory-templates-gate2
Source: https://github.com/luanrodrigues/ia-frmwrk/tree/main/finops-team/skills/regulatory-templates-gate2
Command: npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-regulatory-templates-gate2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that all data mappings from the previous analysis stage are rigorously validated through testing, preventing critical errors and compliance risks before template generation.

Core Features & Use Cases

  • Mapping Validation: Confirms accuracy of data transformations and field mappings.
  • Test Data Verification: Runs transformations against test data to ensure >90% pass rate.
  • Mandatory Field Check: Guarantees 100% of mandatory fields are validated.
  • Use Case: After initial analysis of financial data for regulatory submission, this Skill rigorously tests each proposed data mapping against sample data to catch any transformation bugs or data type mismatches before generating the final regulatory template.

Quick Start

Use the bee:regulatory-templates-gate2 skill to validate all data mappings from Gate 1 and ensure test data passes with a rate above 90%.

Frequently Asked Questions about bee:regulatory-templates-gate2

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

FAQPage Schema
How do I validate data mappings for regulatory template generation?

Regulatory mapping validation confirms the accuracy of data transformations and field mappings by applying rigorous testing rules. It guarantees mandatory fields are 100% validated and cross-field logic prevents compliance violations before final template generation.

How do I test data transformations to prevent compliance violations?

Test data transformations by defining validation rules and cross-field logic to catch transformation bugs and data type mismatches. This verification step ensures test data passes with a rate above 90% before generating final regulatory submissions.

What is the required pass rate for mandatory field validation in regulatory submissions?

Mandatory field validation requires a 100% validation rate, while overall test data must achieve a pass rate exceeding 90%. These thresholds ensure all uncertainties are resolved and prevent production errors in regulatory template generation.

Can I use cross-field logic to catch data type mismatches before generating regulatory templates?

Cross-field logic defines validation rules that catch transformation bugs and data type mismatches during test data verification. This prevents compliance violations and production errors before proceeding to final regulatory template generation.

When do I need regulatory mapping validation in a template generation workflow?

Regulatory mapping validation is needed after initial data analysis identifies uncertain field specifications. It rigorously tests proposed data mappings against sample data to resolve all uncertainties and ensure compliance before final template generation.

Why does my test data fail validation during regulatory template generation?

Test data fails validation when transformation bugs, data type mismatches, or unresolved uncertainties from prior analysis stages exist. Defining proper validation rules and cross-field logic catches these issues to achieve the required 90% pass rate.