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Postgres Expert

Checked
rightnow-ai·vlatest·database·Apache-2.0

Helps with AI, PostgreSQL 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 rightnow-ai/openfang --skill postgres-expert -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

rightnow-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 rightnow-ai/openfang at acf2587e46.

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

Scanned
1 file, 39 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 allows AI agents to interact with and query PostgreSQL databases. It can generate SQL queries, analyze database schemas, and provide explanations of query results. The agent can also assist in troubleshooting database issues and optimizing performance.

When to use it

  • You need to extract specific data from a PostgreSQL database for reporting or analysis.
  • An AI needs to understand the structure of a database schema to populate a knowledge base.
  • Debugging SQL queries or understanding complex query plans requires expert assistance.
  • Automating routine database tasks, such as backups or table creation.

Key capabilities

  • SQL Query Generation
  • Database Schema Analysis
  • Query Result Explanation
  • Troubleshooting Assistance
  • Performance Optimization

Example prompts

  • "Generate a SQL query to find all customers who placed an order in the last month."
  • "Describe the 'products' table schema, including data types and constraints."
  • "Explain why this SQL query is slow and suggest improvements: [Paste Query Here]"

Tips & gotchas

The agent requires access to a PostgreSQL database connection string. Ensure proper permissions are granted to the AI agent for accessing and querying the target database.