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Doc Fetcher

Checked
matteocervelli·vlatest·writing·MIT

Doc Fetcher swiftly retrieves relevant documents based on your query, saving you time and effort in research & information gathering.

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 matteocervelli/llms --skill doc-fetcher --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

matteocervelli

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 matteocervelli/llms at 1e1f2089eb.

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

Commit
1e1f2089eb
Manifest
.archive/claude-v1/skills/doc-fetcher/SKILL.md
Scanned
3 files, 1,369 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 doc-fetcher skill allows AI agents to retrieve documents from a specified URL. It can be used to access online documentation, articles, or any other publicly accessible web pages. The agent can then process the fetched content for summarization, question answering, or further analysis.

When to use it

  • Research Assistance: Quickly gather information from specific websites when an AI agent needs to answer questions about a particular topic.
  • Documentation Retrieval: Access and summarize documentation for software libraries or APIs.
  • News Aggregation: Fetch articles from news sources based on keywords or categories.
  • Content Summarization: Extract key points from lengthy online documents.

Key capabilities

  • Fetches content from URLs.
  • Processes publicly accessible web pages.

Example prompts

  • "Fetch the documentation for the 'requests' Python library from [URL]."
  • "Summarize the main arguments presented in this article: [URL]"
  • "Retrieve the latest news about AI from [news website URL]."

Tips & gotchas

The skill relies on publicly accessible URLs; it cannot access content behind authentication walls. Ensure the target URL is valid and reachable for successful document retrieval.