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algorithmic-art

Checked
shajith003·v1.0.0·frontend·Complete terms in LICENSE.txt

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $

What we know about this skill

Publisher

shajith003

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 shajith003/awesome-claude-skills at 65820933dc.

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

Commit
65820933dc
Manifest
algorithmic-art/SKILL.md
Scanned
4 files, 618 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 visual art using the p5.js JavaScript library. It leverages seeded random number generation to ensure reproducible results while allowing for interactive exploration of artistic parameters. The generated artwork is based on algorithms and can incorporate elements like flow fields.

When to use it

  • A user requests a unique, generative piece of digital art for their website or presentation.
  • You need to create visual assets programmatically with consistent, repeatable results.
  • The user wants to explore different artistic styles through interactive parameter adjustments.
  • Generating abstract backgrounds or textures for UI elements is required.

Key capabilities

  • p5.js library integration
  • Seeded random number generation for reproducibility
  • Interactive parameter exploration of art generation algorithms
  • Flow field implementation for visual effects

Example prompts

  • "Generate a piece of algorithmic art with a seed value of 12345, using blue and green colors."
  • "Create an interactive visualization where the user can adjust the density of particles in a flow field."
  • "Show me several variations of generative artwork based on this algorithm, each with a different random seed."

Tips & gotchas

  • The quality of the generated art is heavily dependent on the chosen parameters and algorithm. Experimentation is key!
  • Understanding basic JavaScript concepts will be helpful for advanced customization or troubleshooting.