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Postgresql Expert Best Practices Code Review

Checked
wispbit-ai·vlatest·database

Helps with PostgreSQL, best practices, 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.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wispbit-ai/skills --skill postgresql-expert-best-practices-code-review -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

wispbit-ai

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 wispbit-ai/skills at 8b2c7d0cec.

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

Commit
8b2c7d0cec
Manifest
skills/postgresql-expert-best-practices-code-review/SKILL.md
Scanned
11 files, 303 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 postgresql-expert-best-practices-code-review skill enables AI agents to audit PostgreSQL database code against industry-standard best practices. It analyzes queries and schema definitions to identify performance bottlenecks, security vulnerabilities, and design flaws before deployment.

When to use it

  • Before merging complex migration scripts into a production branch.
  • When optimizing slow-running queries in high-traffic applications.
  • To ensure new table schemas adhere to normalization rules and indexing strategies.
  • During code reviews for stored procedures or functions to prevent logic errors.

Key capabilities

  • Identifies inefficient SQL patterns such as N+1 query problems and missing indexes.
  • Flags security risks including SQL injection vulnerabilities and weak authentication logic.
  • Validates schema designs against normalization principles to reduce data redundancy.
  • Detects potential deadlocks and transaction isolation issues in concurrent workloads.

Example prompts

  • "Review this PostgreSQL migration script for performance issues and suggest optimizations."
  • "Analyze the following stored procedure for SQL injection vulnerabilities and logic errors."
  • "Check if this new table schema follows normalization rules and recommend necessary indexes."

Tips & gotchas

Ensure you provide the full context of the database environment, such as expected read/write loads, to get accurate performance recommendations. This skill focuses on code quality; it does not execute queries or alter live data directly.