Skip to content
TrustedSkillsbeta
Back to all skills

Parallel Web Search

Checked
parallel-web·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 parallel-web/parallel-agent-skills --skill parallel-web-search -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

parallel-web

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 parallel-web/parallel-agent-skills at 8fc1fc426e.

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

Commit
8fc1fc426e
Manifest
skills/parallel-web-search/SKILL.md
Scanned
1 file, 82 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

The parallel-web-search skill enables AI agents to execute multiple independent web searches simultaneously rather than sequentially. This approach significantly reduces total query time when gathering information from diverse sources or cross-referencing data points across the internet.

When to use it

  • Cross-referencing facts: Verify conflicting statistics by querying two different news outlets at the same time.
  • Gathering broad context: Collect definitions, examples, and historical background on a single topic from multiple educational sites in one go.
  • Comparative analysis: Retrieve pricing details for competing software products or service tiers concurrently to build a comparison table.
  • Multi-perspective research: Simultaneously search for technical documentation and user reviews to get both developer and end-user insights.

Key capabilities

  • Executes concurrent HTTP requests to multiple search engines or knowledge bases.
  • Aggregates results from distinct queries into a unified response stream.
  • Optimizes latency by eliminating the wait time between sequential search steps.

Example prompts

  • "Search for the latest release notes on Python 3.12 and Java 21 simultaneously, then summarize the key new features in both."
  • "Run three parallel searches: one for current stock prices of Apple, one for their quarterly earnings report, and one for recent analyst ratings."
  • "Find the top 5 open-source alternatives to Slack by searching GitHub repositories, Reddit threads, and tech blogs at the same time."

Tips & gotchas

Ensure your AI agent has access to a browser or search tool capable of handling multiple concurrent requests without hitting rate limits. While this method is faster for gathering data, it may return unstructured snippets that require additional processing to synthesize into a coherent narrative.