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Agent Skill · 研究检索

toolweb-data-governance-maturity(toolweb 数据治理成熟度)

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。

toolweb-data-governance-maturity 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 24,430。

总安装 4,015周安装 164GitHub Stars 公开资料未说明下载 1,299核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

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
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install toolweb-data-governance-maturity

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install toolweb-data-governance-maturity;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

toolweb-data-governance-maturity 怎么安装?

在终端执行 openclaw skills install toolweb-data-governance-maturity。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

toolweb-data-governance-maturity 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

toolweb-data-governance-maturity 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

toolweb-data-governance-maturity 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

toolweb-data-governance-maturity 用的人多吗?

公开数据是累计安装 4,015 次,近一周安装 164 次,下载 1,299 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

toolweb-data-governance-maturity 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
toolweb-data-governance-maturity

toolweb 数据治理成熟度 · 本页

4,015—调用外部服务MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

OpenClaw

91.82%
按下载量换算1,193

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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