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dataclaw-setup数据爪设置

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。

总安装

2,399

周安装

98

GitHub Stars

1

下载量

768
OpenClaw

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

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:dataclaw-setup(数据爪设置)
来源仓库:https://github.com/ddanieli/dataclaw-setup
安装命令:
openclaw skills install dataclaw-setup
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 dataclaw-setup

简介

引导用户完成 DataClaw 与 OpenClaw 集成的初始配置。

  • 解答关于 DataClaw 功能定位与运行环境的基础疑问。
  • 提供命令行安装与依赖检查的标准操作流程。dataclaw-setup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 首次部署建议在隔离环境中验证兼容性表现。
  • 网络不通畅地区可能需要手动下载离线包安装。

SKILL.md

name
dataclaw-setup
description
Setup guide for installing and configuring DataClaw itself for use with OpenClaw. Use when the user wants to learn what DataClaw is or finish initial setup. This skill does not create the actual OpenClaw database connection; the real per-access-point skill is installed later from the DataClaw UI.
homepage
https://dataclaw.sh
metadata
{ "openclaw": { "emoji": "🦀", "homepage": "https://dataclaw.sh", "skillKey": "dataclaw-setup" } }

DataClaw Setup

Use this skill to explain what DataClaw is and guide the user through setup for OpenClaw.

What DataClaw does

DataClaw is a localhost-only server that gives AI agents controlled access to a database through MCP.

It is designed for cases where the user wants:

  • per-agent API keys
  • approved-query workflows
  • optional raw query or raw execute permissions
  • an audit log of MCP access
  • local control over PostgreSQL or SQL Server access

Setup

Before DataClaw can be used from OpenClaw, the user must complete setup in this order:

  1. Install DataClaw from https://dataclaw.sh or https://github.com/ekaya-inc/dataclaw.
  2. Run dataclaw.
  3. Open the local DataClaw UI in the browser.
  4. Configure the datasource.
  5. Create or configure the DataClaw access point the user wants OpenClaw to use.
  6. In the DataClaw UI, use Install as a Skill for that configured access point.

The Install as a Skill action is the step that creates the real local OpenClaw integration for that access point.

Important

This skill is a setup and discovery guide only.

It does not provision the actual DataClaw MCP connection by itself.

Do not assume this skill means DataClaw is already installed, configured, or running.

The real OpenClaw-ready skill for a specific DataClaw access point is generated and installed by DataClaw after setup, for example dataclaw-marketing.

After Setup

Once the user has installed the generated DataClaw skill from the DataClaw UI:

  • use the generated access-point skill that DataClaw created
  • prefer approved queries when available
  • do not assume raw SQL access is allowed
  • do not assume write or execute permissions are allowed
  • if an operation appears unavailable, explain that the DataClaw access point may not expose that capability

If Setup Is Not Finished

If the user asks to use DataClaw before it has been installed and configured:

  • tell them to install and run DataClaw first
  • direct them to the local DataClaw UI
  • ask them to finish datasource and access-point setup there
  • tell them to use Install as a Skill in DataClaw when that option becomes available

Links

  • Website: https://dataclaw.sh
  • GitHub: https://github.com/ekaya-inc/dataclaw

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.17%
按下载量换算662

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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