Skip to content
TrustedSkillsbeta
Back to all skills

Run Llms

Listed
av·vlatest·ai-ml·MIT

This skill executes LLMs (like GPT) based on your prompts, streamlining AI workflows and enabling rapid experimentation for diverse tasks.

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 av/skills --skill run-llms -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

av

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • run-llms/SKILL.md:128remote script piped into a shell
      curl -fsSL https://raw.githubusercontent.com/av/harbor/refs/heads/main/install.sh | bash

  • 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

    Only contacts known or declared hosts: raw.githubusercontent.com.

    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.

    Hosts contacted

    raw.githubusercontent.comsource host

  • 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.

  • Pinned to a commit: passed

    Scanned av/skills at 7fb0398999.

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

Commit
7fb0398999
Manifest
run-llms/SKILL.md
Scanned
7 files, 695 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

The run-llms skill allows AI agents to execute prompts against Large Language Models (LLMs). It provides a straightforward way to interact with LLMs, handling the complexities of API calls and response parsing. This enables agents to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

When to use it

  • Content Generation: When you need an agent to draft emails, create social media posts, or write product descriptions.
  • Question Answering: To enable agents to respond to user queries by retrieving information from LLMs.
  • Translation Tasks: For translating text between different languages within an automated workflow.
  • Creative Writing: When you want your agent to generate stories, poems, or other creative content formats.

Key capabilities

  • LLM execution
  • Prompt handling
  • Response parsing

Example prompts

  • "Write a short poem about autumn."
  • "Translate 'Hello, world!' into French."
  • "Summarize this article: [paste article text here]"

Tips & gotchas

The skill requires access to an LLM API key. Ensure the agent has proper credentials configured before use for optimal performance and to avoid errors.