revops-data-governance
revops-data-governance is a CRM administration skill for AI agents, published by NEON-Rutger in the B2B-revops-skills repository on GitHub. Skillspace rates revops-data-governance F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Revenue data governance: the operational discipline every other RevOps skill depends on. Use when the user mentions data governance, data quality, data model, data architecture, field governance, property naming conventions, data hygiene, deduplication, integration data flows, system of record, sync rules, data enrichment, data definitions, one vision of truth, data spine, data quality scoring, validation rules, GDPR, field deprecation, or data audit. Also trigger when someone says "our reports don't match," "our CRM is a mess," "we have too many fields," or describes duplicate accounts, conflicting numbers, stale data. Fix data governance before building metrics or scaling. BOUNDARY: Covers data MODEL, QUALITY, and GOVERNANCE. For HubSpot setup, see revops-hubspot. For metrics, see revops-metrics.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 37
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 73 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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