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Llm Icon Finder

Checked
daymade·vlatest·ai-ml·MIT

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 daymade/claude-code-skills --skill llm-icon-finder -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

daymade

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: raw.githubusercontent.com.

    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

    raw.githubusercontent.comsource host
  • 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 daymade/claude-code-skills at 1327636852.

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

Scanned
3 files, 215 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

llm-icon-finder

What it does

This skill enables AI agents to discover and install specific skills designed for other AI models. It acts as a bridge, allowing an agent to locate necessary tools or capabilities within a registry and execute their installation directly.

When to use it

  • You need to equip an AI agent with specialized functions that are not currently active in its environment.
  • Your agent encounters a task requiring a specific capability (e.g., code analysis, data visualization) that must be fetched from an external library.
  • You are building a multi-agent system where one agent needs to dynamically load tools for another agent to execute complex workflows.

Key capabilities

  • Skill Discovery: Searches the registry to identify available skills matching specific criteria or names.
  • Direct Installation: Executes the installation process for found skills without manual intervention.
  • Registry Integration: Accesses the TrustedSkills ecosystem to find tools created by various authors like daymade.

Example prompts

  • "Find and install a skill that allows me to generate high-quality icons for my application."
  • "I need a tool to analyze large datasets; search the registry and install the best available data processing skill."
  • "Locate a coding assistant skill in the registry and add it to my current agent's toolkit."

Tips & gotchas

Ensure the target skill exists in the active registry before attempting installation, as missing dependencies may cause errors. Verify that the installed skill is compatible with your specific AI model version to avoid runtime conflicts.