regulatory-templates-gate1

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

205|26|Updated Oct 30, 2025

Search Tags:#templates #validation #audit #mapping #regulatory #data-source

Ready to run

npx skills add https://github.com/LerianStudio/ring --skill regulatory-templates-gate1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: regulatory-templates-gate1
Source: https://github.com/LerianStudio/ring/tree/main/finops-team/skills/regulatory-templates-gate1
Command: npx skills add https://github.com/LerianStudio/ring --skill regulatory-templates-gate1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gate 1 performs regulatory compliance analysis and field mapping from the template structure produced by Gate 0. It ensures snake_case naming, data source prefixes, and interactive validation with dictionary checks.

Core Features & Use Cases

Snake_case conversion of all field names to match Python/Django conventions
Data source prefixes for each field to enable full data lineage
Interactive validation requiring dictionary-grounded approvals
Confidence thresholds to prevent low-quality mappings from progressing

Quick Start

After setup and Gate 0 structure, run Gate 1 to map placeholders to data sources. If a dictionary is missing, Gate 1 will prompt for interactive validation.

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 data sources?▼

Map placeholders to data sources by converting field names to snake_case, adding required data source prefixes, and validating each field interactively against regulatory dictionaries. Gate 1 ensures minimum 80% confidence before mappings progress to production.

What validation does regulatory template mapping require?▼

Regulatory template validation requires snake_case field naming, data source prefixes for lineage, interactive per-field dictionary checks from ~/.claude/docs/regulatory/dictionaries/, and an overall confidence threshold of 80% minimum to ensure audit-ready accuracy.

When do I use Gate 1 in the regulatory compliance workflow?▼

Run Gate 1 after Gate 0 completes the template structure. Gate 1 maps placeholders to backend data sources, enforces naming conventions, and validates field-to-source connections before data moves to production systems.

Can I audit the data lineage from template mapping?▼

Yes. Data source prefixes on every mapped field create full lineage traceability. Combined with snake_case naming and dictionary-grounded validation, the mapping produces audit-ready records for compliance verification and field-origin tracking.

What happens if a regulatory dictionary is missing during mapping?▼

Gate 1 prompts for interactive validation when a dictionary is absent. You approve field mappings manually; Gate 1 ensures snake_case and prefix requirements are met before proceeding, maintaining confidence and compliance standards.

Is template mapping suitable for production regulatory data?▼

Yes. Gate 1 is production-grade: it enforces snake_case conversion, requires data source prefixes, applies dictionary validation, and maintains 80% minimum confidence. The result supports compliance audits and regulatory reporting with full traceability.