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toolweb-data-governance-maturitytoolweb 数据治理成熟度

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

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请帮我安装这个 Agent Skill:toolweb-data-governance-maturity(toolweb 数据治理成熟度)
来源仓库:https://github.com/krishnakumarmahadevan-cmd/toolweb-data-governance-maturity
安装命令:
openclaw skills install toolweb-data-governance-maturity
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简介

评估组织数据治理成熟度的综合分析平台。

  • 适用于数据战略制定、合规审计和改进规划。
  • 提供多领域成熟度评分和改进路线图。
  • 需输入组织架构和数据现状信息进行分析。
  • 输出建议需经管理层确认后实施。toolweb-data-governance-maturity 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Data Governance Maturity Assessment
description
Comprehensive platform for evaluating organizational data governance maturity across multiple domains with actionable recommendations and improvement roadmaps.

Overview

The Data Governance Maturity Assessment API provides organizations with a comprehensive evaluation framework for assessing their data governance capabilities and maturity levels. This platform enables enterprises to benchmark their current governance posture, identify gaps, and receive prioritized recommendations for improvement across key governance domains.

The assessment engine analyzes responses across multiple governance domains, calculates domain-specific and overall maturity scores, and generates a detailed improvement roadmap. Organizations can use this tool to establish baseline measurements, track progress over time, and align governance initiatives with business objectives.

This tool is ideal for compliance officers, data governance teams, enterprise architects, and information security professionals seeking to evaluate and strengthen their organization's data governance framework in alignment with industry standards and best practices.

Usage

Sample Request

{
  "userId": 12345,
  "sessionId": "sess_a1b2c3d4e5f6g7h8",
  "timestamp": "2024-01-15T10:30:00Z",
  "assessmentData": {
    "sessionId": "sess_a1b2c3d4e5f6g7h8",
    "timestamp": "2024-01-15T10:30:00Z",
    "responses": {
      "dataQualityProcesses": 4,
      "dataOwnershipClarity": 3,
      "accessControlFramework": 4,
      "complianceDocumentation": 3,
      "metadataManagement": 2,
      "dataClassification": 4,
      "policyEnforcement": 3,
      "incidentResponsePlan": 4
    }
  }
}

Sample Response

{
  "sessionId": "sess_a1b2c3d4e5f6g7h8",
  "timestamp": "2024-01-15T10:30:00Z",
  "overallScore": 78,
  "maturityLevel": "Managed",
  "domainScores": [
    {
      "name": "Data Quality",
      "score": 85,
      "status": "Strong",
      "assessment": "Established processes for data quality monitoring with automated validation rules in place across critical data assets."
    },
    {
      "name": "Data Ownership",
      "score": 68,
      "status": "Developing",
      "assessment": "Data ownership roles are defined but inconsistently applied. Need to strengthen accountability and escalation procedures."
    },
    {
      "name": "Access Control",
      "score": 82,
      "status": "Strong",
      "assessment": "Role-based access controls implemented with regular access reviews. Identity and access management aligned with governance policies."
    },
    {
      "name": "Compliance",
      "score": 75,
      "status": "Managed",
      "assessment": "Compliance requirements documented and mapped to controls. Regular audits conducted with remediation tracking."
    },
    {
      "name": "Metadata Management",
      "score": 62,
      "status": "Developing",
      "assessment": "Basic metadata standards exist but lack comprehensive coverage across data landscape. Metadata governance tooling needed."
    },
    {
      "name": "Data Classification",
      "score": 80,
      "status": "Strong",
      "assessment": "Data classification scheme established and applied to majority of organizational data with sensitivity labeling."
    }
  ],
  "recommendations": [
    {
      "priority": "High",
      "title": "Implement Enterprise Metadata Management Platform",
      "description": "Deploy centralized metadata repository to catalog data assets, lineage, and governance attributes. Integrate with data discovery tools for improved data governance visibility."
    },
    {
      "priority": "High",
      "title": "Strengthen Data Ownership Accountability",
      "description": "Establish formal data stewardship program with defined roles, responsibilities, and escalation procedures. Conduct training for data owners and stewards."
    },
    {
      "priority": "Medium",
      "title": "Enhance Policy Enforcement Automation",
      "description": "Implement automated policy enforcement controls for data access, usage, and movement. Deploy data loss prevention (DLP) tools to monitor policy violations."
    },
    {
      "priority": "Medium",
      "title": "Expand Data Classification Coverage",
      "description": "Extend classification scheme to cover all data assets including structured and unstructured data. Implement automated classification where feasible."
    }
  ],
  "roadmap": "Phase 1 (0-3 months): Establish formal data stewardship program and conduct comprehensive data inventory. Phase 2 (3-6 months): Implement metadata management platform and expand classification coverage. Phase 3 (6-12 months): Deploy automated policy enforcement and conduct governance maturity reassessment."
}

Endpoints

GET /

Description: Root endpoint providing API status and basic information.

Parameters: None

Response: JSON object with API metadata and available resources.


GET /health

Description: Health check endpoint for monitoring API availability and operational status.

Parameters: None

Response: JSON object indicating service health status (200 OK indicates healthy state).


POST /api/governance/assessment

Description: Generate a comprehensive data governance maturity assessment based on organizational assessment responses. Returns overall and domain-specific scores, maturity level classification, actionable recommendations, and improvement roadmap.

Parameters:

NameTypeRequiredDescription
userIdintegerYesUnique identifier for the user conducting the assessment
sessionIdstringYesUnique session identifier for tracking assessment sessions
timestampstringYesISO 8601 timestamp of assessment initiation (e.g., "2024-01-15T10:30:00Z")
assessmentDataobjectYesContainer object for assessment responses and metadata
assessmentData.sessionIdstringYesSession identifier matching parent sessionId
assessmentData.timestampstringYesTimestamp matching parent timestamp
assessmentData.responsesobjectNoKey-value pairs of assessment domain responses with numeric scores (0-5 scale recommended)

Response Shape:

{
  "sessionId": string,
  "timestamp": string,
  "overallScore": integer (0-100),
  "maturityLevel": string (Initial|Developing|Managed|Optimized),
  "domainScores": [
    {
      "name": string,
      "score": integer (0-100),
      "status": string,
      "assessment": string
    }
  ],
  "recommendations": [
    {
      "priority": string (High|Medium|Low),
      "title": string,
      "description": string
    }
  ],
  "roadmap": string
}

GET /api/governance/test

Description: Test endpoint to verify backend service is operational and responding to requests.

Parameters: None

Response: JSON object confirming service availability and readiness.

Pricing

PlanCalls/DayCalls/MonthPrice
Free550Free
Developer20500$39/mo
Professional2005,000$99/mo
Enterprise100,0001,000,000$299/mo

About

ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube.

References

  • Kong Route: https://api.mkkpro.com/compliance/data-governance
  • API Docs: https://api.mkkpro.com:8112/docs

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按下载量换算1,193

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