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Supabase Audit Functions

Listed
yoanbernabeu·vlatest·database

Helps with Supabase, auditing as part of working with databases and data persistence workflows.

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-audit-functions -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 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: abc123def.supabase.co.

    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

    abc123def.supabase.coundeclared

    What it found

    • skills/audit-functions/supabase-audit-functions/SKILL.md:151contacts abc123def.supabase.co
      curl https://abc123def.supabase.co/functions/v1/get-user-data?user_id=user-b-id \
  • 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 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, 498 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-audit-functions skill enables AI agents to execute comprehensive security audits directly within Supabase projects. It automates the discovery of misconfigurations, permission leaks, and potential vulnerabilities across database schemas and Row Level Security (RLS) policies.

When to use it

  • Conducting pre-deployment security checks before exposing a production database to public traffic.
  • Validating that Row Level Security (RLS) policies correctly restrict data access between different user roles.
  • Identifying orphaned tables or sensitive columns lacking encryption or masking configurations.
  • Performing routine compliance reviews for applications handling personally identifiable information (PII).

Key capabilities

  • Automated scanning of Supabase database schemas for security weaknesses.
  • Analysis of Row Level Security (RLS) policy definitions and enforcement gaps.
  • Detection of overly permissive authentication settings or missing access controls.
  • Generation of detailed audit reports highlighting specific misconfigurations found.

Example prompts

  • "Run a full security audit on my Supabase project and list any RLS policies that allow unrestricted write access."
  • "Scan the database schema for tables containing sensitive data that do not have encryption enabled."
  • "Identify any authentication bypass vulnerabilities or missing row-level restrictions in the current configuration."

Tips & gotchas

Ensure your AI agent has the necessary read-only credentials to safely inspect the database without modifying production data. This skill is best used as a preventative measure; always review the generated audit report manually before applying automated fixes to complex security policies.