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Raffle Winner Picker

Checked
davepoon·vlatest·other·MIT

This tool randomly selects a winner from a list, simplifying raffle or contest organization and ensuring fairness.

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 davepoon/buildwithclaude --skill raffle-winner-picker -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

davepoon

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 davepoon/buildwithclaude at fc03a95b41.

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

Commit
fc03a95b41
Manifest
plugins/all-skills/skills/raffle-winner-picker/SKILL.md
Scanned
1 file, 145 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 allows AI agents to randomly select a winner from a provided list of names or entries. It functions as a digital draw tool, ensuring impartiality by using an algorithmic selection process rather than manual picking.

When to use it

  • Conducting office holiday party gift exchanges where fairness is essential.
  • Selecting a random participant for a speaking turn during a virtual meeting.
  • Determining the lucky recipient of a prize in a community online event.
  • Breaking ties between multiple candidates when a decision requires chance.

Key capabilities

  • Accepts a list of names or identifiers as input.
  • Executes a single random selection from the provided set.
  • Returns the chosen winner clearly to the user.

Example prompts

  • "Pick one winner for our raffle from this list: Alice, Bob, Charlie, and Diana."
  • "Randomly select a team member to present the quarterly report from my roster."
  • "Choose a lucky number between 1 and 20 using a random draw."

Tips & gotchas

Ensure you provide a complete, non-empty list of names or options before triggering the selection. The tool relies on the input data provided; it cannot generate its own participants without your initial list.