Supabase Audit Tables Read
ListedHelps 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
Run this in your project
terminal$ npx skills add yoanbernabeu/supabase-pentest-skills --skill supabase-audit-tables-read -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
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: 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.coundeclaredWhat it found
- skills/audit-api/supabase-audit-tables-read/SKILL.md:358contacts abc123def.supabase.co
"curl_command": "curl -s 'https://abc123def.supabase.co/rest/v1/users?select=*&limit=5' -H 'apikey: $ANON_KEY' -H 'Authorization: Bearer $ANON_KEY'"
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.
- Commit
- 0f9612276b
- Scanned
- 1 file, 398 lines
About this skill
What it does
This skill enables AI agents to securely read and query audit logs stored within Supabase database tables. It allows for the retrieval of historical records regarding user actions, data changes, and system events without modifying the underlying data.
When to use it
- Investigating security incidents by retrieving specific user login attempts or permission grants.
- Auditing compliance requirements to verify who accessed sensitive data during a specific timeframe.
- Debugging application issues by analyzing logs of failed transactions or configuration changes.
- Generating reports on system activity for administrative review or forensic analysis.
Key capabilities
- Reads data from designated Supabase audit tables via SQL queries.
- Filters records based on time ranges, user IDs, or specific event types.
- Returns structured log entries containing timestamps, actor information, and action details.
- Operates within the read-only scope to prevent accidental data modification during investigations.
Example prompts
- "Query the audit_logs table for all failed login attempts from IP address 192.168.1.50 in the last 24 hours."
- "Retrieve a list of users who were granted admin privileges between January 1st and January 31st."
- "Show me the sequence of actions performed by user ID 12345 on the 'users' table this morning."
Tips & gotchas
Ensure your AI agent has appropriate read permissions configured in Supabase before attempting to query sensitive audit logs. Be mindful of large result sets; if a query returns thousands of rows, consider adding specific date filters or pagination logic to manage output size effectively.