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Custom Linter Creator

Checked
j5ik2o·vlatest·backend·MIT

This tool lets you easily build personalized linters to enforce specific coding style rules and improve code quality.

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 j5ik2o/okite-ai --skill custom-linter-creator -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

j5ik2o

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 j5ik2o/okite-ai at f1bc1c3783.

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

Commit
f1bc1c3783
Manifest
skills/custom-linter-creator/SKILL.md
Scanned
2 files, 691 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 custom-linter-creator skill allows you to define and use custom linters within an AI agent. It enables users to specify linting rules based on their specific needs, going beyond standard coding style checks. This facilitates the enforcement of project-specific guidelines and best practices directly within the AI's workflow.

When to use it

  • Enforcing Project Style Guides: Ensure all generated code adheres to a particular company or team’s coding standards.
  • Custom Code Quality Checks: Implement rules beyond standard linting, such as checking for specific API usage patterns.
  • Domain-Specific Validation: Validate AI-generated content against domain-specific constraints (e.g., legal compliance in generated contracts).
  • Automated Review Feedback: Provide automated feedback on code or text based on custom rules.

Key capabilities

  • Define custom linting rules.
  • Integrate linters into the agent’s workflow.
  • Enforce project-specific guidelines.
  • Validate content against domain-specific constraints.

Example prompts

  • "Create a linter rule to ensure all variable names start with an underscore."
  • "Add a linting check for using deprecated functions in Python code."
  • “Implement a custom linter that flags any sentence containing the word ‘ambiguous’ in generated marketing copy.”

Tips & gotchas

The effectiveness of this skill depends on clearly defining and testing your custom linting rules. Ensure you have a good understanding of the underlying linting framework being used by the AI agent for optimal results.