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Clawsay

Checked
tjade273·vlatest·other

Clawsay is a versatile AI agent that generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., boosting productivity and sparking imagination.

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 tjade273/agent-skills-test --skill clawsay -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

tjade273

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 tjade273/agent-skills at fa2df8f5c9.

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

Commit
fa2df8f5c9
Manifest
skills/clawsay/SKILL.md
Scanned
3 files, 91 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 clawsay skill provides a simple interface for generating text. It's designed to be lightweight and easy to integrate into various AI agent workflows, focusing on straightforward text output based on provided prompts. This skill excels at producing short-form content or acting as a foundational building block for more complex tasks.

When to use it

  • Generating quick responses in a chatbot application.
  • Creating simple summaries of short documents.
  • Drafting basic email replies or social media posts.
  • As a core component in an agent needing text generation capabilities.

Key capabilities

  • Text Generation: Produces textual output based on user prompts.
  • Lightweight Integration: Designed for easy incorporation into various AI agent architectures.
  • Simple Interface: Offers straightforward functionality with minimal complexity.

Example prompts

  • "Write a short poem about cats."
  • "Summarize this article in one sentence: [article text]"
  • "Draft an email thanking someone for their time."

Tips & gotchas

The clawsay skill is best suited for relatively simple text generation tasks. For more complex or nuanced outputs, consider integrating it with other skills that offer advanced language processing capabilities.