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Postgresql

Checked
jgamaraalv·vlatest·database·MIT

Connects to and executes SQL queries against PostgreSQL databases using secure credentials and efficient data retrieval.

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 jgamaraalv/ts-dev-kit --skill postgresql -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

jgamaraalv

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 jgamaraalv/ts-dev-kit at d4a6870312.

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

Commit
d4a6870312
Manifest
skills/postgresql/SKILL.md
Scanned
8 files, 1,745 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 provides access to PostgreSQL, a powerful open-source relational database system. It allows AI agents to execute SQL queries, manage databases and tables, and retrieve structured data for analysis or application use. The agent can interact with existing PostgreSQL instances or potentially create new ones depending on the underlying infrastructure.

When to use it

  • Data Extraction: Retrieve specific information from a PostgreSQL database based on natural language requests (e.g., "Get all customers in California").
  • Report Generation: Generate reports by querying and aggregating data stored within PostgreSQL tables.
  • Database Management: Perform administrative tasks like creating new tables or updating existing records, if appropriate permissions are granted.
  • Application Integration: Connect to a PostgreSQL database as part of a larger application workflow, such as processing orders or managing inventory.

Key capabilities

  • SQL query execution
  • Data retrieval from PostgreSQL databases
  • Database table management (potentially)
  • Integration with existing PostgreSQL instances

Example prompts

  • "Show me the names and email addresses of all users."
  • "Create a new table called 'products' with columns for name, price, and description."
  • "What is the average order value from the last month?"

Tips & gotchas

  • Requires access to a PostgreSQL database instance. Ensure the AI agent has appropriate credentials and permissions before use.
  • The specific actions available (e.g., table creation) depend on the underlying infrastructure and security configurations.