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Cnpg Database

Checked
ionfury·vlatest·database·WTFPL

Access, query, and analyze structured data within cnpg databases using natural language prompts and receive concise results.

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 ionfury/homelab --skill cnpg-database -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

ionfury

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 ionfury/homelab at 059c09aa25.

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

Scanned
5 files, 593 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 manage a CNPG (Cloud Native PostgreSQL) database. It enables querying data, executing SQL commands, and performing basic administrative tasks within the database environment. The agent can retrieve information and modify data stored in the CNPG cluster.

When to use it

  • Data Analysis: Retrieve specific data points from the CNPG database for reporting or analysis purposes.
  • Database Administration: Execute simple SQL commands, such as creating tables or updating records, under controlled circumstances.
  • Application Integration: Allow an AI agent to access and modify application data stored within the CNPG database.
  • Troubleshooting: Query the database for diagnostic information when troubleshooting issues with connected applications.

Key capabilities

  • CNPG Database Interaction
  • SQL Command Execution
  • Data Retrieval (Querying)
  • Basic Administrative Tasks

Example prompts

  • "Retrieve all customer records from the 'customers' table."
  • "Execute the SQL command: CREATE TABLE new_table..."
  • "What is the current database version?"

Tips & gotchas

This skill requires access to a CNPG cluster and appropriate credentials. Be mindful of security implications when granting an AI agent database access; limit permissions to only what's necessary.