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Configure Linting

Checked
laurigates·vlatest·backend·MIT

This skill configures linters to automatically check your code for style and potential errors, improving code quality and maintainability.

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 laurigates/claude-plugins --skill configure-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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
configure-plugin/skills/configure-linting/SKILL.md
Scanned
2 files, 499 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 enables AI agents to automatically set up and manage code linting configurations within development environments. It ensures consistent code quality standards are applied across projects by defining rules for syntax, style, and best practices.

When to use it

  • Onboarding new team members: Automatically configure a shared linting setup so everyone adheres to the same coding standards immediately.
  • Enforcing project standards: Apply specific linter rules (like Prettier or ESLint) to ensure all code contributions match the repository's guidelines.
  • CI/CD pipeline integration: Pre-configure linting tools before running automated builds to catch formatting errors early in the workflow.
  • Environment consistency: Standardize development environments across different operating systems by defining a unified configuration file.

Key capabilities

  • Detects and installs necessary linter dependencies based on project requirements.
  • Generates or modifies .eslintrc, .prettierrc, or similar configuration files.
  • Validates existing codebases against newly defined rules to identify violations.
  • Integrates with popular editors and IDEs to enable real-time feedback during coding sessions.

Example prompts

  • "Set up a comprehensive linting environment for my React project using ESLint and Prettier."
  • "Configure my Python development workspace to enforce type hints and formatting standards automatically."
  • "Create a shared linting configuration file that works across our entire frontend team's Node.js applications."

Tips & gotchas

Ensure your AI agent has write permissions to the project root directory where configuration files typically reside. Avoid running this skill on production servers without first testing the generated rules locally, as overly strict configurations can break existing workflows.