Postgres Code Review

Name: Postgres Code Review
Author: existential-birds

Checked

existential-birds·vlatest·database·Apache-2.0

Helps with PostgreSQL, code review as part of working with databases and data persistence workflows.

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add existential-birds/beagle --skill postgres-code-review -a claude-code

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

existential-birds

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 28 Sept 2026

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 existential-birds/beagle at d1a74899fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: d1a74899fb
Manifest: plugins/beagle-python/skills/postgres-code-review/SKILL.md
Scanned: 5 files, 1,033 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

postgres-code-review

What it does

This skill enables AI agents to perform automated code reviews specifically for PostgreSQL database schemas and migrations. It analyzes SQL changes to identify potential issues, enforce best practices, and ensure schema integrity before deployment.

When to use it

Before deploying a new migration script to production environments.
When reviewing complex schema changes involving foreign keys or indexes.
To validate that SQL queries adhere to your team's coding standards.
During pull request workflows for database-related code changes.

Key capabilities

Automated analysis of PostgreSQL schema modifications.
Detection of common SQL anti-patterns and errors.
Validation of migration logic for data integrity.
Feedback generation on query performance implications.

Example prompts

"Review this PostgreSQL migration script for potential syntax errors or logical flaws."
"Analyze the provided schema change and suggest improvements based on database best practices."
"Check if these foreign key constraints are correctly defined in my migration file."

Tips & gotchas

Ensure your AI agent has access to the full context of the PostgreSQL dialect being used, as specific syntax variations can affect review accuracy. This skill focuses on code quality and schema logic rather than runtime performance testing.