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Llms Txt Generator

Checked
loonghao·vlatest·ai-ml·MIT

Generates diverse text content using LLMs – ideal for creative writing, brainstorming, and rapid content creation needs.

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 vx-org/vx --skill llms-txt-generator -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

loonghao

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 loonghao/vx at debe4f0357.

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

Commit
debe4f0357
Manifest
.codebuddy/skills/llms-txt-generator/SKILL.md
Scanned
2 files, 435 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, loonghao-llms-txt-generator, generates text based on prompts. It leverages large language models (LLMs) to produce various written outputs, such as articles, stories, or code snippets. The generated text aims to be coherent and relevant to the provided instructions.

When to use it

  • Drafting blog posts: Quickly create initial drafts for your blog content.
  • Generating creative writing prompts: Get ideas for short stories or poems.
  • Creating basic code examples: Generate simple code snippets in various programming languages.
  • Summarizing text: Condense longer pieces of text into shorter, more manageable summaries.

Key capabilities

  • Text generation based on prompts
  • Utilizes large language models (LLMs)
  • Supports various writing styles and formats
  • Can generate code snippets

Example prompts

  • "Write a short story about a cat who learns to play the piano."
  • "Generate Python code for a simple calculator function."
  • "Summarize this article: [paste article text here]"
  • “Draft an introductory paragraph for a blog post about sustainable gardening.”

Tips & gotchas

The quality of generated text heavily depends on the clarity and specificity of your prompts. Experiment with different phrasing to achieve desired results.