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404Love Next

Checked
dariorapisardi·vlatest·other·MIT

Predicts potential romantic connections based on online profiles and shared interests, offering compatibility insights.

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 dariorapisardi/404love --skill 404love-next -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

dariorapisardi

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 dariorapisardi/404love at 9d4d54f513.

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

Scanned
2 files, 120 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 404love-next skill provides a way to generate creative and engaging responses when encountering "404 Not Found" errors. It aims to transform frustrating error experiences into opportunities for humor, surprise, or even artistic expression. The skill can be configured with different themes and styles to customize the user experience.

When to use it

  • When you want to replace generic 404 pages on a website with something more engaging.
  • To add a touch of personality and creativity to error handling in an application.
  • For developers who want to improve the user experience when content is missing or unavailable.
  • As part of a larger project focused on enhancing brand identity through unexpected interactions.

Key capabilities

  • Customizable themes for 404 responses.
  • Generation of creative and humorous error messages.
  • Potential for artistic expression within error pages.
  • Configurable style options to match website branding.

Example prompts

  • "Generate a funny 404 page about lost cats."
  • "Create a minimalist 404 response with an abstract image."
  • "Design a 404 page that looks like a retro arcade game over screen."

Tips & gotchas

The skill's effectiveness depends on the underlying AI model’s creative capabilities and ability to interpret stylistic instructions. Consider providing clear, detailed prompts for desired themes and styles to achieve optimal results.