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Llm Models

Checked
inference-sh·vlatest·ai-ml

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 inference-sh/skills --skill llm-models -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

inference-sh

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 inference-sh/skills at c2d5678f14.

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

Commit
c2d5678f14
Manifest
tools/llm/llm-models/SKILL.md
Scanned
1 file, 118 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 access and utilize various Large Language Model (LLM) models. It provides a way to integrate different LLMs into agent workflows, enabling capabilities like text generation, summarization, and question answering using diverse model architectures. The skill simplifies the process of selecting and deploying appropriate LLMs for specific tasks.

When to use it

  • Experimenting with different LLMs: Quickly test various models (e.g., GPT-3, Llama 2) to determine which performs best for a given application.
  • Building multi-model agents: Combine the strengths of multiple LLMs within a single agent, such as using one model for summarization and another for creative writing.
  • Adapting to evolving models: Easily swap out or update the underlying LLM without significant code changes in your agent's logic.

Key capabilities

  • LLM Model Selection: Choose from a range of available LLMs.
  • Model Integration: Seamlessly incorporate LLMs into agent workflows.
  • Dynamic Model Switching: Ability to change models at runtime.

Example prompts

  • "Use the Llama 2 model to summarize this article."
  • "Generate creative content using GPT-3."
  • “Which LLM models are currently available?”

Tips & gotchas

The performance of the skill depends on the capabilities and limitations of the selected LLMs. Ensure your agent has appropriate access credentials or API keys for the chosen model provider.