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Hello_World

Listed
smallnest·vlatest·other·MIT

This skill simply prints "Hello, World!" to your chat, offering a basic and easily testable introduction to AI interaction.

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 smallnest/langgraphgo --skill hello_world -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

smallnest

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.

    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 smallnest/langgraphgo at 8babee09de.

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

Commit
8babee09de
Manifest
examples/goskills_example/skills/hello_world/SKILL.md
Scanned
3 files, 73 lines
Copies in repo
2 — all of them scanned
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 hello_world skill provides a simple function to generate a greeting message. It takes an optional name as input and returns a personalized "Hello, [name]!" or a generic "Hello!" if no name is provided. This skill demonstrates basic text generation functionality within an AI agent workflow.

When to use it

  • Initial testing: Use this skill to quickly verify that your AI agent can successfully execute and return results from installed skills.
  • Simple greetings: Implement a basic greeting for users interacting with the agent.
  • Educational examples: Demonstrate how to integrate and utilize skills in an AI agent application.
  • Debugging: Useful for isolating issues when integrating more complex skills.

Key capabilities

  • Generates personalized greetings based on provided names.
  • Handles cases where no name is provided, returning a generic greeting.
  • Provides a basic example of skill execution within an AI agent environment.

Example prompts

  • "Say hello."
  • "Hello to Alice."
  • "Greet the user by name."

Tips & gotchas

This is a very simple skill; its primary purpose is demonstration and testing. It doesn't handle complex logic or error conditions, so don’t expect it to be robust for production use cases.