Skip to content
TrustedSkillsbeta
Back to all skills

Grepai Mcp Tools

Checked
yoanbernabeu·vlatest·agents·MIT

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step 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 yoanbernabeu/grepai-skills --skill grepai-mcp-tools -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.

Commit
382d40261c
Manifest
skills/integration/grepai-mcp-tools/SKILL.md
Scanned
1 file, 425 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 grepai-mcp-tools skill provides AI agents with access to a suite of utilities designed for efficient text processing and code analysis. It enables agents to perform pattern matching, file searching, and data extraction directly within their operational environment using standard command-line interfaces.

When to use it

  • Quickly locate specific strings or patterns across large directories of log files or source code.
  • Extract structured data from unstructured text logs for further analysis by other tools.
  • Automate repetitive text filtering tasks that would otherwise require manual shell commands.
  • Integrate file system search capabilities into autonomous agent workflows without direct human intervention.

Key capabilities

  • Pattern matching and regular expression support for precise text retrieval.
  • Recursive directory traversal to search through nested file structures.
  • Command-line interface (CLI) integration via the Model Context Protocol (MCP).
  • Efficient filtering of large text datasets based on user-defined criteria.

Example prompts

  • "Search all files in the /logs directory for any error messages containing 'timeout' and summarize the findings."
  • "Extract all IP addresses found in the configuration file network.conf using a regex pattern."
  • "List all Python files in the project root that contain the word 'deprecated' and report their locations."

Tips & gotchas

Ensure the agent has appropriate read permissions for the target directories before executing search commands to avoid access errors. While powerful, complex regular expressions should be tested carefully to prevent unintended matches or performance bottlenecks on very large file sets.