metabase-semantic-checker

metabase-semantic-checker is a skill for Claude Code from metabase/agent-skills. It costs 121 tokens per session (1,488 once invoked), scanned A, original, MIT.

A checker for Metabase configuration files written in YAML. Metabase is a tool for building dashboards and queries from data.

In plain words
What is it for?
Use it to verify that references in Metabase exports resolve correctly, including dashboard cards, query fields, joins, snippets, and database objects.
Why use it?
It finds broken links between collections, dashboards, cards, queries, tables, columns, and other referenced items before they cause problems.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

not rated 42repo +1 16d ago A scan Socket: passSnyk: warnSkillSpector: warn 121 tokens original MIT

Good fit Use it to verify that references in Metabase exports resolve correctly, including dashboard cards, query fields, joins, snippets, and database objects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/metabase/agent-skills/metabase-semantic-checker
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.

Any agent
npx skills add metabase/agent-skills --skill metabase-semantic-checker
Clone the repo
git clone --depth 1 https://github.com/metabase/agent-skills

Made for: Claude Code.

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-semantic-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-semantic-checker/github.svg)](https://agentmods.dev/skills/metabase/agent-skills/metabase-semantic-checker)
Your own site
<a href="https://agentmods.dev/skills/metabase/agent-skills/metabase-semantic-checker"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-semantic-checker/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for metabase-semantic-checker

Your own site · 80×15
<a href="https://agentmods.dev/skills/metabase/agent-skills/metabase-semantic-checker"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-semantic-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 10 May 2026
  • Snyk warn 10 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium MCP Rug Pull · line 10
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 41
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 43
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 52
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 54
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 82
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
How audits are shown
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 $0.00121 $0.01488
Opus 5 $0.00060 $0.00744
Sonnet 5 $0.00024 $0.00298
Haiku 4.5 $0.00012 $0.00149

Measured 11d ago against content hash f104da27a706, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

metabase-semantic-checker 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 11d 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/metabase-semantic-checker/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Metabase semantic checker

The semantic checker validates a tree of Metabase Representation Format YAML files for referential integrity. Schema-level validation (shape of each file, required fields, enum values) is handled separately by npx @metabase/representations validate-schema; the semantic checker runs after schema validation and focuses on cross-file and cross-system consistency.

It compiles every MBQL query down to SQL against the database metadata and checks that each entity reference and each column reference resolves to something that actually exists. Concretely, it answers:

  • Does every collection_id, parent_id, dashboard_id, document_id, based_on_card_id, transform tag, snippet name, etc. resolve to an entity that actually exists in the tree?
  • For each MBQL query, do every source-table, field reference, join target, segment, measure, and expression resolve against the database schema? (Verified by compiling the query to SQL.)
  • For each native query, do the referenced tables, columns, and snippets exist?
  • Do dashboards' and documents' embedded card references point at real cards?

Each run takes 1 minute or more — roughly a minute of fixed JVM + metadata-loading overhead before any checks start, plus query-compilation time that scales with the tree.

The checker ships inside the Metabase Enterprise JAR and is invoked via --mode checker. Default Docker image: metabase/metabase-enterprise:latest. Use metabase/metabase-enterprise-head:latest only when the user explicitly wants the in-development build — e.g. testing unreleased checker changes.

Inputs

Two inputs, both required:

  • The representation tree — the repo root containing collections/, databases/, transforms/, python_libraries/. This is what gets checked.
  • The database metadata — a JSON file exported from a Metabase instance. By default located at .metadata/table_metadata.json. The checker uses it to resolve column/table references inside queries; without it, query-level checks cannot run.

Read the full file on GitHub · 83 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. 11d ago First seen · 83 lines · 121 tokens per session scan A f104da27a706

Subscribe to this mod's changes

metabase-semantic-checker is a skill published in the GitHub repository metabase/agent-skills (42 stars, last pushed 16d ago), licensed MIT. It adds 121 tokens to every session and 1,488 once invoked, about $0.0006 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.

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