Ai Intelligent Data Governance

企业数据治理，数据质量 + 数据安全。

Security Scan

The skill's description matches a data-governance tool, but the runtime instructions tell the agent/user to clone and run an external GitHub repo (unpackaged, unvetted code), which is disproportionate and risky for an instruction-only skill.

Purpose & Capability

Name, description and feature list align with a data-governance product. However, the SKILL.md expects you to fetch and run a full external application (git clone + pip install + python app.py) even though no code is bundled with the skill itself — reasonable for a deployable product but unusual for an instruction-only skill published in the registry without a homepage or verified source.

Instruction Scope

The SKILL.md instructs cloning a GitHub repo and executing its code locally (pip install, python app.py). Those instructions cause the agent/user to download and run arbitrary remote code outside the skill bundle and without guidance to inspect or sandbox it. The doc does not enumerate required credentials (databases, cloud storage, etc.) even though a governance service would normally need them.

Install Mechanism

No formal install spec is provided in the registry; instead the README-like SKILL.md suggests cloning a GitHub repo and running it. While GitHub is a known host, downloading and executing unreviewed repository code is high risk for an instruction-only skill (the registry bundle does not include the code to inspect).

Credentials

The skill declares no required environment variables or credentials, which is minimal. However, a data-governance application typically needs DB/cloud credentials, and those are not documented here. The absence of declared env vars reduces immediate exfiltration signals but increases ambiguity about hidden requirements once the external repo is run.

Persistence & Privilege

always is false and there is no claim to modify other skills or system configuration. The skill does suggest running a persistent server (python app.py) but it does not request forced/automatic inclusion or elevated platform privileges in the registry metadata.

What to consider before installing

This skill is instruction-only and tells you to git clone and run an external GitHub repository that is not included in the registry bundle. Do not run those commands without inspection. If you consider using it: (1) review the GitHub repo and every file (requirements.txt, app.py and network code) for secrets or exfiltration before running; (2) run the code in a sandboxed environment or disposable VM; (3) check what credentials (DB, cloud storage, auth) the app expects and never provide production secrets until you trust the code; (4) prefer skills that include verifiable code in the bundle or an official install spec/homepage; (5) request the publisher to provide a packaged release, provenance (homepage, repo owner verification), and explicit list of required env vars and network endpoints. These steps reduce but do not eliminate risk.

AI 智能数据治理系统

描述

企业数据治理，数据质量 + 数据安全。

功能

• 数据质量（自动检测）
• 数据安全（权限管理）
• 数据标准（统一规范）
• 数据血缘（追踪来源）
• 数据资产（资产目录）

定价

• 基础版：¥299/月（10 数据源）
• 专业版：¥1499/月（50 数据源）
• 企业版：¥4999/月（无限数据源）

适用场景

• 企业数据治理
• 数据中台
• 数据安全
• 数据质量管理

技术栈

• Python + FastAPI
• 数据质量引擎
• 权限管理
• 数据血缘追踪

安装

git clone https://github.com/openclaw-skills/ai-intelligent-data-governance
cd ai-intelligent-data-governance
pip install -r requirements.txt
python app.py

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创建：2026-03-13 作者：OpenClaw Skills Team