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S Lint

Checked
falkicon·vlatest·other

S Lint analyzes code for potential issues, offering suggestions to improve quality and prevent bugs – a valuable tool for developers.

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 falkicon/mechanic --skill s-lint -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

falkicon

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 falkicon/mechanic at 9d291fefb3.

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

Commit
9d291fefb3
Manifest
.agent/skills/s-lint/SKILL.md
Scanned
2 files, 126 lines
Copies in repo
2 — all of them scanned
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 s-lint skill provides a way to check code snippets for style and potential errors. It can identify common coding mistakes, enforce consistent formatting, and improve overall code quality. This helps ensure that the generated code is readable, maintainable, and less prone to bugs.

When to use it

  • Code Generation: Use s-lint after an AI agent generates a code snippet in any programming language.
  • Scripting Tasks: Employ this skill when automating tasks involving code manipulation or creation.
  • Educational Purposes: Integrate s-lint into learning environments to demonstrate best practices and coding standards.
  • Project Initialization: Use it to enforce consistent style guidelines at the start of a new software project.

Key capabilities

  • Code Style Checking
  • Error Detection
  • Formatting Enforcement
  • Supports multiple programming languages (specific languages not listed)

Example prompts

  • "Lint this Python code: [code snippet]"
  • "Check this JavaScript function for errors and style issues: [code snippet]"
  • “Can you review the following code and suggest improvements? [code snippet]”

Tips & gotchas

The skill's effectiveness depends on the quality of its underlying linting tools. Ensure that the AI agent is provided with a clear and complete code snippet for accurate analysis.