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Parallel Search

Checked
u9401066·vlatest·data·Apache-2.0

Simultaneously explores multiple search paths to rapidly identify optimal solutions across complex datasets.

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 u9401066/med-paper-assistant --skill parallel-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

u9401066

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 u9401066/med-paper-assistant at 7e1eab0b05.

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

Commit
7e1eab0b05
Manifest
.claude/skills/parallel-search/SKILL.md
Scanned
2 files, 98 lines
Copies in repo
2 — all of them scanned
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 parallel-search skill allows an AI agent to perform multiple search queries simultaneously. This significantly speeds up information gathering, particularly when researching complex topics requiring data from diverse sources. It's designed for tasks like literature reviews and comprehensive market analysis where efficiency is crucial.

When to use it

  • Literature Reviews: Quickly gather relevant papers by searching across multiple databases and journals at once.
  • Market Research: Analyze competitor pricing and product features by querying various e-commerce sites concurrently.
  • Fact Verification: Cross-reference information from several reputable sources simultaneously to ensure accuracy.
  • Data Aggregation: Collect data points from different APIs or websites in parallel for a more complete dataset.

Key capabilities

  • Parallel execution of search queries
  • Support for multiple search engines/sources
  • Improved efficiency compared to sequential searching

Example prompts

  • "Find the latest research on 'Alzheimer's disease' across PubMed, Google Scholar, and Semantic Scholar."
  • "Compare pricing and features of 'wireless headphones' from Amazon, Best Buy, and Walmart simultaneously."
  • "Verify the population of Tokyo by querying the World Bank, United Nations, and Wikipedia in parallel."

Tips & gotchas

The skill’s effectiveness depends on the availability and responsiveness of the targeted search sources. Large numbers of concurrent requests might be rate-limited by some services.