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Web Research

Official
langchain-ai·vlatest·backend·MIT

Retrieves relevant information from web sources using search engines to inform tasks and answer 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 langchain-ai/deepagents --skill web-research --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

langchain-ai

Matched to the vendor's own GitHub organisation.

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 langchain-ai/deepagents at f2a98d2bb4.

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

Scanned
1 file, 74 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 web-research skill enables AI agents to perform targeted searches on the web, gather relevant information from multiple sources, and synthesize findings into concise summaries. It supports real-time data retrieval and is optimized for accuracy in factual queries.

When to use it

  • To find up-to-date statistics or reports for a business presentation.
  • When verifying the latest developments in a specific industry or technology.
  • For compiling research materials on a topic that requires multiple credible sources.

Key capabilities

  • Real-time web search with filtering by source reliability
  • Extraction of key facts and figures from search results
  • Synthesis of information into structured summaries

Example prompts

  • "Find the latest GDP growth rate for Germany in 2024."
  • "Summarize recent news articles about renewable energy trends."
  • "Gather data on customer satisfaction scores for top e-commerce platforms."

Tips & gotchas

  • Ensure internet connectivity is stable for optimal performance.
  • Be mindful of potential biases or inaccuracies in sources, and cross-check critical information when needed.