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data-metabase数据元数据库

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

2,136

周安装

89

GitHub Stars

59

下载量

712
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:data-metabase(数据元数据库)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/data-metabase
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill data-metabase
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill data-metabase

简介

通过 API 自动化 Metabase 报表、仪表盘和图表配置,提升 BI 效率。

  • 优先使用环境变量注入凭据,备选方案支持用户名密码认证。
  • 健康检查脚本可验证 API 连通性与权限有效性,便于故障排查。
  • 生成的卡片和仪表盘应命名规范,方便后续维护与权限分配。
  • data-metabase 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Metabase

Automate Metabase via API: reports (cards), dashboards, and chart settings.

Quick Start

Inputs (env vars)

  • METABASE_URL (e.g., https://metabase.example.com)
  • Preferred: METABASE_API_KEY
  • Fallback: METABASE_USERNAME + METABASE_PASSWORD

Sanity checks

python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py health
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py whoami

Live API documentation

Your Metabase instance serves OpenAPI docs at /api/docs (e.g., https://metabase.example.com/api/docs). Use this to discover version-specific endpoints and request shapes.

Workflow

  1. Confirm API availability (GET /api/util/health).
  2. Authenticate with an API key (preferred) or a short-lived session (fallback).
  3. Discover IDs (prefer discovery over hardcoding across environments):

- collection_id for where to save - database id for dataset_query - source-table / field ids if using MBQL

  1. Create/update a card:

- Prefer native SQL for stable automation. - Set display + visualization_settings explicitly.

  1. Create/update a dashboard and add cards with consistent layout.
  2. Validate by running/exporting results.

Key Concepts

  • UI "Question" == API card
  • Chart configuration lives on the card as display + visualization_settings
  • Most viz keys are easiest to manage by copying from an existing card JSON, then editing

Guardrails

  • Prefer Metabase "serialization" (Pro/Enterprise) for bulk, cross-environment migrations; use direct API for incremental upserts.
  • Do not hardcode numeric IDs across environments when you can discover them or use serialization/entity IDs.
  • Never commit METABASE_API_KEY, passwords, or session tokens.
  • Prefer a dedicated, least-privileged automation account and collection.

References (read only as needed)

TopicFile
Authentication (API key + fallback)references/api-auth.md
Reports (cards): create/edit patternsreferences/reports-cards.md
Dashboards and card placementreferences/dashboards.md
Charts and visualization_settingsreferences/charts-settings.md
Embedding & external integrationreferences/embedding-integration.md
Permissions & collections managementreferences/permissions-collections.md
Native SQL query patternsreferences/native-query-patterns.md

Scripts

scripts/metabase_api.py is a small, dependency-free helper to test auth and upsert cards.

Examples:

# Print authenticated user (tries API key, then session)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py whoami

# Export an existing card JSON (use as a template for visualization_settings)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py export-card --id 123 --out card.json

# Export an existing dashboard JSON (use as a template for layout)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py export-dashboard --id 5 --out dashboard.json

# Create/update a card from a JSON spec (see references/reports-cards.md)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py upsert-card --spec card-spec.json

# Create/update a dashboard from a JSON spec (base fields only)
python3 frameworks/shared-skills/skills/data-metabase/scripts/metabase_api.py upsert-dashboard --spec dashboard-spec.json

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

Claude Code

26.23%
按下载量换算187

Cursor

24.32%
按下载量换算173

Gemini CLI

18.72%
按下载量换算133

Antigravity

13.5%
按下载量换算96

Codex

7.35%
按下载量换算52

trae

3.36%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

来源信息

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