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Supabase Help

Checked
yoanbernabeu·vlatest·database

Get Supabase SQL queries, table schemas, and troubleshooting assistance directly from your AI assistant.

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 yoanbernabeu/supabase-pentest-skills --skill supabase-help -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

yoanbernabeu

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 yoanbernabeu/supabase-pentest-skills at 0f9612276b.

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

Scanned
1 file, 164 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

What it does

This skill enables AI agents to interact directly with Supabase databases, allowing them to execute queries, manage rows, and handle authentication logic within the platform. It serves as a bridge for automating data operations and security testing workflows without manual SQL intervention.

When to use it

  • Automating routine data maintenance tasks like bulk updates or cleanup scripts.
  • Performing automated penetration tests on database configurations and access controls.
  • Generating dynamic reports by querying complex relational data structures.
  • Integrating real-time data validation into application deployment pipelines.

Key capabilities

  • Execute raw SQL queries against Supabase projects.
  • Manage table rows through insert, update, and delete operations.
  • Interact with Supabase authentication mechanisms for user management.
  • Retrieve schema information to understand database structure dynamically.

Example prompts

  • "Query the users table to find all accounts created in the last 24 hours."
  • "Update the status column to 'verified' for all users who have completed onboarding."
  • "Check current authentication settings and list active sessions for a specific user ID."

Tips & gotchas

Ensure your AI agent has proper API keys with scoped permissions before executing write operations. Always validate generated SQL queries in a sandbox environment to prevent unintended data loss or security vulnerabilities during automated testing.