About validation-rulebook
validation-rulebook is a skill for teams checking data enrichment before syncing it to go-to-market systems. It provides a structured approach to validation rules, freshness, confidence, exceptions, and compliance records.
Key features
- 01Field, pattern, and dependency rules
- 02Time-based freshness thresholds
- 03Provider and method confidence scoring
- 04Quarantine, reprocessing, and escalation workflows
- 05Compliance logs and audit templates
Use cases
- 01Quality checks before syncing enrichment data
- 02Auditing providers after schema changes or outages
- 03Documenting validation for compliance reviews
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/validation-rulebookin Claude Code to confirm it loaded.
Details
From the project READMEValidation 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
- Rule Catalog – list required fields, regex patterns, allowed values, and dependencies.
- Freshness Thresholds – define time-based SLAs per signal type.
- Confidence Scoring – set weighting for provider, validation method, and history.
- Exception Handling – create workflows for quarantining, reprocessing, or escalation.
- 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-stewardoutputs for sign-off history.
Comments
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