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Research Agent

Checked
parcadei·vlatest·agents·MIT

Quickly gathers relevant information from web sources to answer questions or support decision-making tasks.

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 parcadei/continuous-claude-v3 --skill research-agent -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/research-agent/SKILL.md
Scanned
1 file, 139 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 research-agent skill allows an AI agent to perform web searches and synthesize information from those results. It can gather data on specific topics, summarize articles, and answer questions based on online sources. This capability enables agents to stay up-to-date with current events or research complex subjects.

When to use it

  • Market Research: Gather competitor pricing and product details for a new business venture.
  • News Summarization: Quickly get the key points from multiple news articles about a specific event.
  • Fact Verification: Confirm information found elsewhere by cross-referencing with online sources.
  • Literature Review: Compile relevant research papers on a particular scientific topic.

Key capabilities

  • Web search functionality
  • Information synthesis from search results
  • Summarization of articles
  • Question answering based on web content

Example prompts

  • "Find the latest news about electric vehicle battery technology."
  • "What are the key differences between Python and JavaScript?"
  • "Summarize the main arguments in this article: [URL]"

Tips & gotchas

The accuracy of results depends heavily on the quality of search queries. Be specific and use relevant keywords to get the most useful information from the agent.