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Galaxy Linting

Checked
arash77·vlatest·backend·MIT

Galaxy Linting analyzes code for potential issues within a galactic-scale codebase, boosting development efficiency and quality.

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 arash77/galaxy-claude-marketplace --skill galaxy-linting -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

arash77

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 arash77/galaxy-claude-marketplace at cbc937c6fa.

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

Scanned
1 file, 770 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

The galaxy-linting skill analyzes text for potential issues related to Galaxy project standards. It identifies and flags deviations from established guidelines, helping maintain consistency and quality across projects. This includes checking code style, documentation adherence, and other project-specific rules.

When to use it

  • Code Review: Automatically check pull requests or commits against Galaxy coding standards before merging.
  • Documentation Validation: Ensure documentation adheres to the required format and content guidelines.
  • New Project Setup: Validate initial project structure and files for compliance with Galaxy conventions.
  • Training New Developers: Provide immediate feedback on code style and adherence to project rules.

Key capabilities

  • Code Style Checking
  • Documentation Adherence Verification
  • Project-Specific Rule Enforcement
  • Deviation Flagging

Example prompts

  • "Lint this Python script for Galaxy compliance."
  • "Check the documentation for consistency with Galaxy guidelines."
  • "Validate this new project's structure against Galaxy standards."

Tips & gotchas

The skill requires a working understanding of Galaxy project conventions to interpret and act upon flagged issues effectively. The specific rules checked are determined by the Galaxy project configuration.