What is a Validation Rulebook in Claude Code?

It is a specialized skill that allows Claude to define, manage, and execute validation checks and compliance protocols for enriched data within the Claude Code environment.

Can I use this for CRM data cleanup?

Yes, it is specifically designed to audit and validate data signals before or during synchronization with GTM systems like CRMs to ensure high-quality lead and account data.

Does it support compliance audits?

Absolutely. It includes compliance hooks for logging approvals, data residency tags, and retention policies, making it easier to prepare documentation for legal or infosec reviews.

How does it handle low-quality data?

It utilizes a weighted confidence scoring system and defined exception workflows to automatically quarantine, reprocess, or escalate data that falls below your quality thresholds.

Data Validation Rulebook

Name: Data Validation Rulebook
Author: gtmagents

bygtmagents

•

マーケティングオートメーション

Defines and enforces validation, freshness, and compliance standards for enriched GTM data signals.

概要

The Validation Rulebook skill provides a standardized framework for ensuring data integrity within go-to-market workflows. It enables Claude to implement rigorous QA checks, establish freshness SLAs, and maintain compliance-ready audit trails before syncing enriched data to CRMs or marketing automation platforms. By defining rule catalogs, confidence scoring, and exception handling protocols, this skill helps revenue operations and marketing teams mitigate the risks of stale or inaccurate data impacting sales performance.

主な機能

Automated rule catalog generation for field validation and regex patterns
29 GitHub stars
Standardized exception handling and quarantine workflow management
Weighted confidence scoring for provider and validation method assessment
Compliance-ready auditing for data residency and retention policies
Freshness threshold monitoring with time-based SLAs per signal type

ユースケース

Creating documentation for legal and infosec reviews of GTM data processes
Establishing data freshness SLAs for third-party enrichment provider audits
Running automated QA audits before syncing enriched lead data to Salesforce or HubSpot

概要

主な機能

Automated rule catalog generation for field validation and regex patterns
29 GitHub stars
Standardized exception handling and quarantine workflow management
Weighted confidence scoring for provider and validation method assessment
Compliance-ready auditing for data residency and retention policies
Freshness threshold monitoring with time-based SLAs per signal type

ユースケース

Creating documentation for legal and infosec reviews of GTM data processes
Establishing data freshness SLAs for third-party enrichment provider audits
Running automated QA audits before syncing enriched lead data to Salesforce or HubSpot