metabase-analytics-guide

metabase-analytics-guide is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 18 tokens per session (1,903 once invoked), scanned A, original, MIT.

A guide to Metabase, an open-source tool for exploring data and creating browser-based dashboards. It can be used with or without SQL, a language for querying databases.

In plain words
What is it for?
Use it to connect to databases, explore experimental data, create dashboards, and send scheduled reports or email summaries.
Why use it?
It helps teams inspect shared research data and build reports without requiring every team member to write database queries.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/wentorai/research-plugins/metabase-analytics-guide
Any agent
npx skills add wentorai/research-plugins --skill metabase-analytics-guide
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for metabase-analytics-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/metabase-analytics-guide.svg)](https://agentmods.dev/skills/wentorai/research-plugins/metabase-analytics-guide)
Your own site
<a href="https://agentmods.dev/skills/wentorai/research-plugins/metabase-analytics-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/metabase-analytics-guide.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,903 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01903
Opus 5 $0.00009 $0.00951
Sonnet 5 $0.00004 $0.00381
Haiku 4.5 $0.00002 $0.00190

Measured 6d ago against content hash 0333a1748f27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

metabase-analytics-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analysis/dataviz/metabase-analytics-guide/SKILL.md · 243 lines

How it starts

The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Metabase Analytics Guide

Overview

Metabase is a powerful open-source business intelligence and analytics tool with over 46K stars on GitHub. It allows researchers and data analysts to explore data, create visualizations, and build dashboards without writing SQL, though it fully supports custom SQL queries for advanced users. Metabase connects to a wide variety of databases and provides a browser-based interface that makes data exploration accessible to team members regardless of their technical background.

For academic research groups and labs, Metabase serves as an excellent self-hosted platform for tracking experimental data, monitoring research progress, and creating shared dashboards for collaborative projects. Its ability to connect directly to PostgreSQL, MySQL, SQLite, and many other databases means it can be pointed at existing research data stores without data migration. Researchers can set up automated reports, scheduled email digests, and shared dashboards that keep the entire team informed.

Metabase's no-code query builder is particularly valuable in interdisciplinary research teams where not all members are comfortable with SQL. Principal investigators, graduate students, and collaborators can all explore the same datasets through an intuitive visual interface while power users retain full SQL access for complex analyses.

Installation and Setup

Docker Deployment (Recommended)

# Quick start with Docker
docker run -d -p 3000:3000 \
  --name metabase \
  -v metabase-data:/metabase-data \
  -e MB_DB_TYPE=postgres \
  -e MB_DB_DBNAME=metabase_app \
  -e MB_DB_PORT=5432 \
  -e MB_DB_USER=$METABASE_DB_USER \
  -e MB_DB_PASS=$METABASE_DB_PASS \
  -e MB_DB_HOST=db-host \
  metabase/metabase

# Access at http://localhost:3000

Docker Compose for Research Lab Setup

version: "3.9"
services:
  metabase:
    image: metabase/metabase:latest
    container_name: research-metabase
    ports:
      - "3000:3000"
    environment:
      MB_DB_TYPE: postgres
      MB_DB_DBNAME: metabase_app
      MB_DB_PORT: 5432
      MB_DB_USER: ${METABASE_DB_USER}
      MB_DB_PASS: ${METABASE_DB_PASS}
      MB_DB_HOST: postgres
      MB_SITE_NAME: "Research Lab Analytics"
    depends_on:
      - postgres
    volumes:
      - metabase-data:/metabase-data

  postgres:
    image: postgres:16
    environment:
      POSTGRES_DB: metabase_app
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
    volumes:
      - pg-data:/var/lib/postgresql/data

volumes:
  metabase-data:
  pg-data:

Read the full file on GitHub · 243 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 243 lines · 18 tokens per session scan A 0333a1748f27

Subscribe to this mod's changes

metabase-analytics-guide is a skill published in the GitHub repository wentorai/research-plugins (287 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,903 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens