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Reactions

Checked
naohainezha·vlatest·frontend

This "Reactions" skill dynamically adds reaction emojis to messages, boosting engagement and creating more expressive conversations.

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 naohainezha/skill --skill reactions -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

naohainezha

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 naohainezha/skill at 8d0571a019.

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

Commit
8d0571a019
Manifest
reactions/SKILL.md
Scanned
1 file, 35 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 respond with pre-defined reactions. It provides a way to inject personality and expressiveness into agent interactions by triggering specific visual or textual responses based on user input or internal state. The skill is designed for frontend applications, enhancing the user experience through dynamic feedback.

When to use it

  • User Feedback: Displaying simple "like" or "dislike" reactions to content suggestions.
  • Confirmation/Error Messages: Providing visual cues like checkmarks for successful actions or error icons for failures.
  • Emotional Responses: Simulating basic emotional responses in a chatbot, such as surprise or agreement.
  • Interactive Tutorials: Using animations or visual feedback to guide users through interactive tutorials.

Key capabilities

  • Pre-defined reactions
  • Visual and textual response options
  • Frontend application integration

Example prompts

  • "Show a 'thumbs up' reaction."
  • "Display an error icon when the form submission fails."
  • "Trigger the 'surprise' animation after receiving unexpected input."

Tips & gotchas

This skill is intended for frontend use and requires appropriate styling or visual assets to be effective. Ensure that reactions are contextually relevant and don’t distract from the core functionality of the application.