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Llm

Listed
seckatie·vlatest·ai-ml

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 seckatie/katies-ai-skills --skill llm -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

seckatie

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.

  • No undeclared network calls: failed

    Contacts 6 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: apnews.com, llm.datasette.io, simonwillison.net, til.simonwillison.net, www.nytimes.com….

    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.

    Hosts contacted

    simonwillison.netundeclaredtil.simonwillison.netundeclaredllm.datasette.ioundeclaredwww.nytimes.comundeclaredapnews.comundeclaredwww.theguardian.comundeclared

    What it found (3 of 15)

    • skills/llm/docs/changelog.md:198contacts simonwillison.net
      curl https://simonwillison.net/2025/Apr/6/only-miffy/ | \
    • skills/llm/docs/usage.md:99contacts simonwillison.net
      curl -s 'https://simonwillison.net/2023/May/15/per-interpreter-gils/' | \
    • skills/llm/docs/changelog.md:821contacts til.simonwillison.net
      curl -s 'https://til.simonwillison.net/macos/imovie-slides-and-audio' | \

  • 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 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 seckatie/katies-ai-skills at 036c833a88.

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

Commit
036c833a88
Manifest
skills/llm/SKILL.md
Scanned
37 files, 8,515 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 provides access to a Large Language Model (LLM). It allows you to generate text, translate languages, and answer your questions in an informative way. The LLM can also follow your instructions and complete requests thoughtfully.

When to use it

  • Brainstorming creative content like blog posts or marketing copy.
  • Summarizing long documents or articles for quick understanding.
  • Translating text between different languages.
  • Getting answers to factual questions, drawing on a broad knowledge base.
  • Generating code snippets in various programming languages.

Key capabilities

  • Text generation
  • Language translation
  • Question answering
  • Instruction following
  • Code generation

Example prompts

  • "Write a short poem about autumn leaves."
  • "Translate 'Hello, world!' into Spanish."
  • "Summarize the main points of the French Revolution."
  • “Generate Python code to calculate the Fibonacci sequence.”

Tips & gotchas

The quality of the output depends heavily on the clarity and specificity of your prompts. Be as detailed as possible when describing what you want the LLM to do.