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Literature Search

Listed
yorkeccak·vlatest·other·MIT

Quickly finds relevant academic papers, articles, and books based on your specified keywords and research questions.

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 yorkeccak/scientific-skills --skill literature-search -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

yorkeccak

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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.valyu.ai, platform.valyu.ai.

    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

    api.valyu.aiundeclaredplatform.valyu.aiundeclared

    What it found

    • skills/literature-search/scripts/search.mjs:12contacts api.valyu.ai
      const VALYU_API_BASE = 'https://api.valyu.ai/v1';
    • skills/literature-search/scripts/search.mjs:69contacts platform.valyu.ai
      message: "Valyu API key not configured. Get your free API key ($10 credits) at https://platform.valyu.ai"
  • 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 yorkeccak/scientific-skills at 20b3d50370.

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

Scanned
2 files, 359 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 literature-search skill enables AI agents to autonomously discover and retrieve relevant academic papers, books, and other scholarly materials based on specific research topics or keywords. It streamlines the initial phase of information gathering by filtering vast databases to surface high-quality sources for further analysis.

When to use it

  • Initiating a new research project that requires an overview of existing literature in a specific field.
  • Gathering background context before diving into deep technical analysis or code generation.
  • Verifying claims made in other documents by cross-referencing primary academic sources.
  • Identifying recent advancements or gaps in knowledge within a niche scientific domain.

Key capabilities

  • Searches across multiple academic databases and digital libraries simultaneously.
  • Filters results based on relevance, publication date, and author credibility.
  • Extracts key metadata such as titles, abstracts, and citation details from search results.
  • Supports natural language queries to find specific concepts or methodologies.

Example prompts

  • "Search for recent literature on the impact of quantum computing on cryptography."
  • "Find academic papers discussing the latest advancements in CRISPR gene editing techniques published in the last two years."
  • "Gather sources that compare different machine learning frameworks for natural language processing tasks."

Tips & gotchas

Ensure your search queries are specific enough to yield relevant results but broad enough to capture a comprehensive view of the topic. While this skill excels at finding existing literature, it cannot access paywalled content unless you provide specific access credentials or open-access links in your prompt.