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Lint And Validate

Checked
poletron·vlatest·backend·CC0-1.0

Automates pole data validation and linting against industry standards, ensuring accuracy and compliance.

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 odjaramillo/custom-rules --skill lint-and-validate -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

poletron

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 poletron/custom-rules at aba6668777.

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

Commit
aba6668777
Manifest
registry/skills/lint-and-validate/SKILL.md
Scanned
6 files, 796 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

This skill, poletron-lint-and-validate, provides automated code quality checks and validation. It allows you to enforce coding standards and identify potential errors within your codebase. The tool supports custom rulesets, enabling tailored linting experiences based on project requirements.

When to use it

  • Enforcing Code Style: Ensure consistency across a team's contributions by automatically checking for style violations.
  • Pre-Commit Checks: Integrate into a pre-commit workflow to prevent code with errors from being committed.
  • Automated Quality Gates: Use as part of a CI/CD pipeline to block deployments if linting checks fail.
  • Identifying Potential Bugs: Catch common programming mistakes and potential vulnerabilities early in the development cycle.

Key capabilities

  • Linting
  • Validation
  • Custom rulesets

Example prompts

  • "Please lint this Python file: my_script.py."
  • "Validate this JavaScript code against my custom ESLint configuration."
  • "Run the linter on all files in the 'src' directory and report any errors."

Tips & gotchas

The skill’s effectiveness depends heavily on having a well-defined set of rules or configurations. Ensure these are provided to the AI agent for accurate linting and validation.