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Supabase

Checked
mindrally·vlatest·database·Apache-2.0

Connects to and queries Supabase databases using natural language, simplifying data access and analysis.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mindrally/skills --skill supabase -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mindrally

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 mindrally/skills at 7682ca7771.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 74 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The Supabase skill enables AI agents to interact directly with your database infrastructure, allowing them to execute SQL queries, manage table schemas, and handle authentication flows without manual intervention. It bridges the gap between natural language requests and backend data operations by providing a programmatic interface to your existing Supabase project.

When to use it

  • Retrieving specific records or aggregating data based on user-defined criteria.
  • Automating data entry tasks by inserting new rows into tables via text prompts.
  • Modifying existing database structures, such as adding columns or creating indexes.
  • Managing row-level security policies and user authentication states dynamically.

Key capabilities

  • Execute raw SQL queries against connected Supabase projects.
  • Define and alter table schemas programmatically.
  • Handle authentication logic for secure data access.
  • Retrieve real-time database state changes.

Example prompts

  • "Create a new table called users with fields for id, email, and created_at."
  • "Select all active orders from the past 30 days where the total exceeds $500."
  • "Update the status of user ID 123 to 'inactive' in the accounts table."

Tips & gotchas

Ensure your Supabase project credentials are securely configured within the agent's environment before attempting database operations. Be mindful of row-level security policies, as they may restrict an AI agent's ability to read or write data even if the SQL syntax is correct.