Skip to content
TrustedSkillsbeta
Back to all skills

Llm Cli

Listed
glebis·vlatest·ai-ml·MIT

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 glebis/claude-skills --skill llm-cli -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

glebis

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 undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: console.groq.com, ollama.ai.

    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

    ollama.aiundeclaredconsole.groq.comundeclaredopenrouter.aimodel provider

    What it found

    • llm-cli/providers.py:122contacts ollama.ai
      print("   - Install from https://ollama.ai")
    • llm-cli/providers.py:135contacts console.groq.com
      print("   Get key from: https://console.groq.com/keys")

  • 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 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 glebis/claude-skills at 7524dff0c5.

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

Commit
7524dff0c5
Manifest
llm-cli/SKILL.md
Scanned
17 files, 3,633 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 llm-cli skill provides a command-line interface to interact with Large Language Models (LLMs). It allows you to execute prompts, manage API keys, and retrieve responses directly from the terminal. This simplifies LLM interaction for developers and those comfortable with command-line tools.

When to use it

  • Rapid prototyping: Quickly test different prompts and configurations without needing a full application framework.
  • Automation scripts: Integrate LLM calls into shell scripts or other automation workflows.
  • Command-line experimentation: Explore the capabilities of various LLMs directly from your terminal.
  • API key management: Securely store and access API keys for different LLM providers.

Key capabilities

  • Prompt execution against LLMs
  • API key storage and retrieval
  • Terminal-based interaction with LLMs
  • Command-line interface

Example prompts

  • llm-cli "Write a short poem about cats."
  • llm-cli --api-key my_openai_key "Translate 'Hello, world!' to French."
  • llm-cli --model davinci "Summarize this article: [paste article text here]"

Tips & gotchas

  • Ensure you have a compatible shell environment (e.g., Bash, Zsh) for proper execution.
  • API keys are sensitive; protect them and avoid committing them to public repositories.