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Web_Searcher

Checked
cliuxinxin·vlatest·backend

Retrieves relevant information from web sources based on provided queries, delivering concise summaries and links.

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 cliuxinxin/rag_agent --skill web_searcher -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

cliuxinxin

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 cliuxinxin/rag_agent at d55afb95d3.

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

Commit
d55afb95d3
Manifest
skills/web_searcher/SKILL.md
Scanned
2 files, 38 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_searcher skill allows AI agents to perform searches on the internet and retrieve relevant information. It can access and process results from search engines, providing up-to-date data for various tasks. This enables the agent to answer questions based on current events or find specific resources online.

When to use it

  • Answering factual questions: When an agent needs to provide accurate answers that require real-time information (e.g., "What's the current weather in London?").
  • Researching a topic: To gather background information and supporting details for reports or presentations (e.g., "Find recent articles about advancements in renewable energy.").
  • Finding specific websites or resources: When an agent needs to locate particular online content based on keywords or descriptions (e.g., "Locate the official website for NASA's Mars rover mission.").
  • Staying up-to-date with news: To monitor and summarize recent developments in a specific field (e.g., "What are the latest headlines regarding artificial intelligence?").

Key capabilities

  • Internet search functionality
  • Retrieval of search results
  • Processing of online content

Example prompts

  • "Search for 'best hiking trails near Denver'."
  • "Find recent news articles about electric vehicle sales."
  • "What is the current stock price of Tesla?"

Tips & gotchas

The quality of the search results depends on the clarity and specificity of the prompt. Vague prompts may return irrelevant or overwhelming amounts of information.