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Lint Validation

Checked
sraloff·vlatest·other

Verifies code against style guides and potential errors using configurable linters, improving quality and consistency.

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 sraloff/gravityboots --skill lint-validation -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

sraloff

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 sraloff/gravityboots at 9cdb33f5da.

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

Commit
9cdb33f5da
Manifest
.agent/skills/lint-validation/SKILL.md
Scanned
1 file, 30 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 lint-validation skill provides code validation and error checking. It can identify potential issues in code snippets, helping to ensure quality and adherence to coding standards. This capability allows users to catch errors early and improve the overall reliability of their code.

When to use it

  • Code Review: Use this skill when you need a quick automated check for common coding errors before submitting code for review.
  • Learning New Languages/Frameworks: Validate your practice code snippets as you learn new programming languages or frameworks.
  • Debugging Assistance: Identify potential sources of error in existing code to aid the debugging process.
  • Automated Pipelines: Integrate into CI/CD pipelines to enforce coding standards and prevent problematic code from being deployed.

Key capabilities

  • Code validation
  • Error checking
  • Adherence to coding standards

Example prompts

  • "Validate this Python code: [code snippet]"
  • "Check for errors in this JavaScript function: [function definition]"
  • "Lint the following HTML: [HTML code]"

Tips & gotchas

The skill's effectiveness depends on the quality and completeness of its internal validation rules. It is not a substitute for comprehensive testing or manual review, but rather a useful tool for early error detection.