validation-rulebook

name	validation-rulebook
description	Use to define validation, freshness, and compliance checks for enriched data.

Validation Rulebook Skill

When to Use

• Running QA before syncing enrichment outputs to GTM systems.
• Auditing providers after schema changes or outages.
• Documenting compliance-ready validation procedures.

Framework

1. Rule Catalog – list required fields, regex patterns, allowed values, and dependencies.
2. Freshness Thresholds – define time-based SLAs per signal type.
3. Confidence Scoring – set weighting for provider, validation method, and history.
4. Exception Handling – create workflows for quarantining, reprocessing, or escalation.
5. Compliance Hooks – log approvals, data residency tags, and retention policies.

Templates

• Rule table (field, check, threshold, severity, owner).
• QA runbook with pre/post sync steps.
• Compliance audit packet ready for legal/infosec reviews.

Tips

• Automate as many rules as possible but keep manual sampling for high-impact signals.
• Version rules alongside taxonomy updates.
• Pair with data-quality-steward outputs for sign-off history.

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