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Wiki Llms Txt

Checked
linehaul-ai·vlatest·ai-ml·MIT

This skill extracts key information from Wikipedia articles using LLMs for quick summaries and insights – a valuable research tool.

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 freightcognition/linehaulai-claude-marketplace --skill wiki-llms-txt --full-depth -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

linehaul-ai

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 linehaul-ai/linehaulai-claude-marketplace at 9e2984bad8.

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

Commit
9e2984bad8
Manifest
plugins/deep-wiki/skills/wiki-llms-txt/SKILL.md
Scanned
1 file, 122 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 access and process information from Wikipedia. It can summarize articles, answer questions based on Wikipedia content, or extract specific facts. The agent uses this data to provide more informed responses and complete tasks requiring broad knowledge.

When to use it

  • Research Assistance: Have the agent quickly gather background information on a topic before a meeting or presentation.
  • Question Answering: Ask complex questions that require synthesizing information from multiple Wikipedia articles.
  • Content Summarization: Request concise summaries of lengthy Wikipedia entries for quick understanding.
  • Fact Verification: Cross-reference claims with Wikipedia to ensure accuracy and reliability.

Key capabilities

  • Accesses Wikipedia content
  • Summarizes Wikipedia articles
  • Answers questions using Wikipedia data
  • Extracts facts from Wikipedia pages

Example prompts

  • "Summarize the article on 'Quantum Computing'."
  • "What were the main causes of World War II?"
  • "Find the population of Tokyo according to Wikipedia."

Tips & gotchas

The agent's responses are limited by the information available on Wikipedia, which may not always be complete or entirely up-to-date. Be mindful of potential biases present in Wikipedia articles.