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Web Search Pro

Checked
zjianru·vlatest·backend·MIT

Helps with web development, search as part of developing backend services and APIs workflows.

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 zjianru/web-search-pro --skill web-search-pro -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

zjianru

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 zjianru/web-search-pro at a45f42a543.

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

Commit
a45f42a543
Manifest
SKILL.md
Scanned
60 files, 6,822 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

Web Search Pro enables AI agents to perform multiple web searches and retrieve structured data for backend services and API workflows. It focuses on providing clear, evidence-based search results that can be used by other models for reasoning, rather than generating narrative reports itself. This skill supports live web searches, news retrieval with explainable routing, code lookup, and site discovery while offering a structured "evidence pack" for upstream models.

When to use it

  • When the task requires multiple web searches or ongoing research.
  • When understanding why a specific search provider was selected is important.
  • When federated (multiple) search providers are needed instead of relying on a single source.
  • For initial runs where no-key baseline behavior is crucial.
  • When runtime diagnostics and capability discovery are part of the workflow.

Key capabilities

  • Supports multiple web searches beyond simple one-shot queries.
  • Provides explainable routing for news search results.
  • Offers access to official documentation, API documentation, and code snippets.
  • Facilitates company, product, and competitor research.
  • Enables site crawling, sitemap generation, and document discovery.
  • Delivers a structured "evidence pack" of search results for use by other models.
  • Supports no-key baseline searches initially.
  • Allows integration of premium providers like TAVILY.

Example prompts

  • "Search for the latest OpenAI news."
  • "Find the API documentation for OpenAI Responses."
  • "Research the OpenClaw search skill landscape and provide a plan."

Tips & gotchas

  • Start with the no-key baseline before adding premium provider credentials.
  • This skill is not designed to write final narrative reports; it focuses on structured data retrieval.
  • It's not intended as a replacement for dedicated hosted scraping services.