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Research Assistant

Checked
zhiruifeng·vlatest·agents·MIT

This AI agent acts as a Research Assistant, swiftly gathering information and summarizing complex topics to boost your productivity and understanding.

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 zhiruifeng/localagentcrew --skill research-assistant -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

zhiruifeng

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 zhiruifeng/localagentcrew at 00a039e359.

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

Scanned
1 file, 97 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 zhiruifeng-research-assistant skill provides assistance with research tasks. It can summarize documents, extract key information from text, and answer questions based on provided context. This skill is designed to help users quickly process large amounts of information and gain insights.

When to use it

  • Literature Reviews: Quickly synthesize findings from multiple academic papers.
  • Contract Analysis: Extract crucial clauses and obligations from legal documents.
  • Market Research: Summarize reports and identify key trends in a specific industry.
  • Due Diligence: Rapidly process large volumes of data during investment evaluations.

Key capabilities

  • Document summarization
  • Key information extraction
  • Question answering based on context

Example prompts

  • "Summarize this document: [paste text here]"
  • "Extract the key arguments from this article: [paste URL or text here]"
  • "Based on the following text, what are the main risks? [paste text here]"

Tips & gotchas

The skill's performance is directly related to the quality and clarity of the provided input. Ensure documents are properly formatted for optimal results.