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Grepai Search Tips

Checked
yoanbernabeu·vlatest·other·MIT

Get tailored search tips from grepai to refine your queries and find information more effectively.

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 yoanbernabeu/grepai-skills --skill grepai-search-tips -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

yoanbernabeu

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 yoanbernabeu/grepai-skills at 382d40261c.

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

Scanned
1 file, 269 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

This skill provides helpful tips and tricks for improving search queries within AI agents. It aims to refine searches, making them more effective and targeted. The skill’s purpose is to enhance the quality of information retrieved by the agent through optimized search strategies.

When to use it

  • When an AI agent returns irrelevant or too broad results from a search query.
  • To help users formulate better search terms for specific information needs.
  • When needing to narrow down a large dataset to find precise answers.
  • For improving the accuracy of research and data gathering tasks performed by AI agents.

Key capabilities

  • Provides search refinement suggestions.
  • Offers tips on formulating effective queries.
  • Aims to improve search result relevance.

Example prompts

  • "Can you help me refine my search for 'best hiking boots'?"
  • "I’m getting too many results when searching for 'artificial intelligence'. How can I narrow it down?"
  • "Give me some tips on how to write a better query to find information about climate change."

Tips & gotchas

This skill requires the underlying AI agent to have search capabilities. It works best when given specific examples of problematic search results or initial queries that need improvement.