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Swiftzilla

Checked
swiftzilla·vlatest·frontend

Swiftzilla rapidly generates clean, optimized HTML/CSS code snippets for common frontend tasks, boosting developer speed and efficiency.

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 swiftzilla/skills --skill swiftzilla -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

swiftzilla

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 swiftzilla/skills at 682d49b538.

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

Commit
682d49b538
Manifest
skills/swiftzilla/SKILL.md
Scanned
6 files, 185 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 swiftzilla skill allows AI agents to generate Swift code. It can produce complete Swift files, individual functions, or snippets based on user prompts. This capability enables rapid prototyping and development of iOS, macOS, watchOS, and tvOS applications.

When to use it

  • Rapid Prototyping: Quickly generate basic app structures or UI elements for initial testing.
  • Code Snippet Generation: Obtain Swift code snippets for specific tasks like data parsing or network requests.
  • Learning Swift: Generate examples of Swift syntax and common programming patterns.
  • Automated Code Creation: Automate the creation of repetitive code blocks in larger projects.

Key capabilities

  • Swift code generation
  • Creation of complete Swift files
  • Generation of individual functions
  • Snippet generation

Example prompts

  • "Generate a Swift function to calculate the factorial of a number."
  • "Create a basic iOS app with a button and a label."
  • "Write a Swift file for handling JSON data parsing."

Tips & gotchas

The quality of generated code depends heavily on the clarity and specificity of the prompt. While swiftzilla can generate code, it's recommended to review and test the output thoroughly before integrating it into production applications.