Data Metabase
ListedAccess, query, and visualize data from various sources using a centralized, customizable database interface.
Install on your platform
data-metabase. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
vasilyu1983
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: www.metabase.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
www.metabase.comundeclaredgithub.comsource hostWhat it found (3 of 22)
- skills/universal/data-metabase/data/sources.json:20contacts www.metabase.com
"url": "https://www.metabase.com/docs/latest/api", - skills/universal/data-metabase/data/sources.json:36contacts www.metabase.com
"url": "https://www.metabase.com/docs/latest/developers-guide/api-changelog", - skills/universal/data-metabase/data/sources.json:53contacts www.metabase.com
"url": "https://www.metabase.com/docs/latest/configuring-metabase/start",
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned vasilyu1983/ai-agents-public at 3ee3637d25.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3ee3637d25
- Scanned
- 23 files, 3,526 lines
About this skill
What it does
This skill enables AI agents to interact with a Metabase instance via its API, allowing for automated creation and modification of reports (cards), dashboards, and chart settings. It supports authentication using an API key (preferred) or username/password credentials. The skill facilitates discovery of necessary IDs within the Metabase environment, promoting automation across different configurations.
When to use it
- Automating the generation of recurring data reports in Metabase.
- Creating new dashboards and populating them with specific charts and visualizations.
- Updating chart settings (display and visualization) programmatically.
- Managing a large number of Metabase cards and dashboards across multiple environments.
Key capabilities
- Automated creation and modification of Metabase reports ("cards").
- Creation and updating of Metabase dashboards.
- Configuration of chart display and visualization settings.
- API authentication using API key or username/password.
- Discovery of IDs (collection, database, source-table) within a Metabase instance.
Example prompts
- "Create a new dashboard in Metabase called 'Sales Performance' with a card showing monthly revenue."
- "Update the visualization settings for the existing 'Website Traffic' card to use a line chart."
- "Generate a report that displays the average order value from the last quarter."
Tips & gotchas
- Authentication: Prioritize using an API key for authentication. Avoid committing sensitive credentials like passwords or session tokens.
- ID Discovery: Do not hardcode IDs; use discovery methods to ensure compatibility across different Metabase environments.
- Serialization (Pro/Enterprise): For large-scale migrations, consider utilizing Metabase's serialization feature if you are on a Pro or Enterprise plan.