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Gptq

Checked
davila7·vlatest·ai-ml·MIT

GPTQ enables faster, smaller language model inference by quantizing weights – crucial for deploying large models on limited hardware.

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 davila7/claude-code-templates --skill gptq -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
4 files, 911 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, gptq, provides access to Claude code templates. It allows AI agents to leverage pre-built code structures and snippets designed specifically for use with the Claude language model. This can accelerate development workflows and improve code quality by providing a starting point for various coding tasks.

When to use it

  • Generating boilerplate code for new projects using Claude.
  • Creating consistent code formatting across a team utilizing Claude.
  • Quickly prototyping solutions based on common coding patterns within the Claude ecosystem.
  • Standardizing code structures for specific types of applications built with Claude.

Key capabilities

  • Access to pre-built Claude code templates.
  • Code structure standardization.
  • Accelerated development workflows.

Example prompts

  • "Generate a basic Flask application template using the gptq skill."
  • "Create a Python script for data analysis with error handling, leveraging the gptq skill."
  • “Show me an example of a REST API endpoint using the gptq skill.”

Tips & gotchas

The effectiveness of this skill depends on familiarity with Claude's coding conventions and best practices. The templates are designed to be starting points; customization will likely be required for specific project needs.