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Repomix

Checked
mrgoonie·vlatest·ai-ml

Repomix intelligently reorganizes your Markdown files for cleaner structure and improved readability – a productivity booster!

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 mrgoonie/claudekit-skills --skill repomix -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

mrgoonie

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 mrgoonie/claudekit-skills at 80113d86bc.

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

Commit
80113d86bc
Manifest
.claude/skills/repomix/SKILL.md
Scanned
8 files, 1,703 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

Repomix intelligently packages entire code repositories into single, AI-friendly files. It's designed to prepare codebases for analysis by large language models (LLMs) like Claude, ChatGPT, and Gemini. The tool supports various output formats and allows filtering of included files and removal of comments to optimize the context provided to these LLMs.

When to use it

  • Packaging codebases for AI analysis: Prepare repositories for review or understanding by an LLM.
  • Creating repository snapshots: Generate a consolidated view of a codebase at a specific point in time.
  • Analyzing third-party libraries: Package external dependencies for security audits or deeper inspection.
  • Preparing for security audits: Create formatted files suitable for automated security scanning tools and LLM analysis.

Key capabilities

  • Repository Packaging: Converts entire repositories into single output files.
  • AI-optimized formatting: Structures the output with clear separators to improve readability for LLMs.
  • Multiple output formats: Supports XML, Markdown, JSON, and plain text outputs.
  • Git-aware processing: Respects .gitignore rules when determining which files to include.
  • Token counting: Provides token counts to help manage the context window of LLMs.
  • Security checks: Performs basic security scans for sensitive information.
  • Remote Repository Support: Processes repositories directly from URLs without cloning.
  • Comment Removal: Removes comments from a wide range of programming languages.

Example prompts

Here are some examples of how you might instruct an AI agent using Repomix:

  1. "Package the current repository into a Markdown file for analysis."
  2. "Create an XML representation of the vendor/library repository for a security audit."
  3. "Generate a JSON file containing only TypeScript files from the project, with comments removed."

Tips & gotchas

  • Installation: Repomix can be installed via npm or Homebrew.
  • Remote repositories: When using remote repositories, ensure the URL is correct and accessible.
  • Token limits: Be mindful of LLM token limits when packaging large codebases; consider filtering files or removing comments to reduce size.