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Svg Art

Checked
kv0906·vlatest·frontend

Generates SVG art from text prompts, offering a flexible and scalable way to create custom graphics for web design projects.

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 kv0906/cc-skills --skill svg-art -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

kv0906

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

    Only contacts known or declared hosts: www.w3.org.

    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

    www.w3.orgstandards
  • 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 kv0906/cc-skills at 627598e62b.

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

Scanned
10 files, 2,628 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 generates Scalable Vector Graphics (SVG) art based on textual descriptions. It can produce a wide variety of visual styles, from abstract designs to more representational imagery. The generated SVG code is suitable for use in web applications or other digital contexts where vector graphics are needed.

When to use it

  • Creating icons and logos for websites or apps.
  • Generating unique artwork for social media posts or presentations.
  • Prototyping visual elements quickly without manual design work.
  • Automating the creation of simple illustrations for documentation.
  • Developing custom graphics for interactive experiences.

Key capabilities

  • Generates SVG code from text prompts.
  • Supports various artistic styles (details not specified).
  • Produces vector-based images suitable for scaling without loss of quality.

Example prompts

  • "Create an SVG image of a stylized mountain range at sunset."
  • "Generate an abstract SVG pattern using circles and triangles."
  • "Produce an SVG icon representing a shopping cart."

Tips & gotchas

The quality of the generated SVG art heavily depends on the clarity and detail provided in the prompt. Experiment with different descriptive terms to achieve desired results.