Overview
- Skill Key
- 1kalin/afrexai-data-governance
- Author
- 1kalin
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1kalin/afrexai-data-governance
- Latest Commit SHA
- 5b104a66f0ae4ca7a7c74086ec5c0949a1a74664
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Data Governance 技能。 若已安装,则直接安装 Afrexai Data Governance 技能。
# Data Governance Framework Assess, score, and remediate your organization's data governance posture across 6 domains. ## What This Covers 1. **Data Quality** — Completeness, accuracy, consistency, timeliness scoring 2. **Data Cataloging** — Asset inventory, lineage tracking, metadata management 3. **Access Control** — Role-based permissions, least privilege, data classification (public/internal/confidential/restricted) 4. **Compliance Mapping** — GDPR, CCPA, SOX, HIPAA, PCI-DSS, industry-specific regulations 5. **Retention & Lifecycle** — Retention policies, archival schedules, deletion procedures, legal hold 6. **AI/Agent Data Governance** — Training data provenance, model input/output logging, bias detection, PII handling in agent workflows ## How to Use When asked to assess data governance: 1. Ask which domains are priority (or assess all 6) 2. For each domain, evaluate 8 controls on a 0-3 scale: - 0 = Not implemented - 1 = Ad hoc / informal - 2 = Documented and partially enforced - 3 = Automated and continuously monitored 3. Calculate domain score (sum / 24 × 100) 4. Calculate overall governance score (average of domains) 5. Generate remediation roadmap prioritized by risk ## Scoring Interpretation | Score | Rating | Action | |-------|--------|--------| | 0-25% | Critical | Immediate remediation — regulatory risk | | 26-50% | Developing | 90-day improvement plan required | | 51-75% | Managed | Optimize and automate weak areas | | 76-100% | Optimized | Maintain and benchmark against peers | ## Domain 1: Data Quality Controls 1. Data profiling automation (duplicate detection, format validation) 2. Quality dashboards with SLA thresholds 3. Root cause analysis for quality failures 4. Stewardship program (assigned data owners per domain) 5. Quality gates in data pipelines (reject bad data at ingestion) 6. Business rule validation (domain-specific logic checks) 7. Cross-system reconciliation (source vs target matching) 8. Quality trend tracking...
# AfrexAI Data Governance Framework Score your organization's data governance across 6 domains with 48 controls. Get a remediation roadmap prioritized by regulatory risk. ## Domains Covered - Data Quality (profiling, SLAs, stewardship) - Data Cataloging (discovery, lineage, glossary) - Access Control (RBAC, classification, anomaly detection) - Compliance Mapping (GDPR, CCPA, SOX, HIPAA, PCI-DSS) - Retention & Lifecycle (archival, legal hold, minimization) - AI/Agent Data Governance (provenance, PII, explainability) ## Scoring 0-100% across each domain. Overall score = average. Remediation prioritized by risk. ## Get More - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) - [Industry Context Packs — $47](https://afrexai-cto.github.io/context-packs/) - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)
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