Skip to content
TrustedSkillsbeta
Back to all skills

Foundation Models

Checked
makgunay·vlatest·other·MIT

Leverages powerful Foundation Models for diverse tasks like content generation & analysis, boosting efficiency and creative potential.

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 makgunay/claude-swift-skills --skill foundation-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

makgunay

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 makgunay/claude-swift-skills at 1c20cb3232.

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

Commit
1c20cb3232
Manifest
foundation-models/SKILL.md
Scanned
1 file, 189 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 leverage foundation models for various tasks. It enables interaction with these powerful models, facilitating text generation, code completion, and potentially other complex reasoning processes. The agent can use this skill to process information and generate creative or technical outputs based on the underlying capabilities of the connected foundation model.

When to use it

  • Generating marketing copy variations for A/B testing.
  • Creating initial drafts of blog posts or articles from a brief outline.
  • Assisting developers with code snippets and explanations in various programming languages.
  • Brainstorming creative content ideas, such as story plots or product names.

Key capabilities

  • Foundation model interaction
  • Text generation
  • Code completion

Example prompts

  • "Generate three different taglines for a new coffee shop."
  • "Write a Python function to calculate the factorial of a number."
  • "Give me some ideas for a science fiction short story about time travel."

Tips & gotchas

The effectiveness of this skill depends on the specific foundation model being used and its capabilities. Be mindful of potential biases or limitations inherent in these models, and always review generated content critically.