trellis-check

Verify recent code changes against quality standards and project requirements.

47|4|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/hkslover/cs2-highlight-tool --skill trellis-check-hkslover
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trellis-check
Source: https://github.com/hkslover/cs2-highlight-tool/tree/main/.agents/skills/trellis-check
Command: npx skills add https://github.com/hkslover/cs2-highlight-tool --skill trellis-check-hkslover

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers catch quality issues before committing code by providing a structured verification workflow across specifications, tests, types, linting, and cross-layer consistency.

Core Features & Use Cases

  • Quality Verification: Checks changed code against project standards, lint rules, type safety requirements, and automated tests.
  • Cross-Layer Review: Validates data flow, dependency usage, code reuse, and consistency across application layers.
  • Use Case: Use this Skill after implementing a feature to identify missing tests, specification drift, or integration problems before a commit.

Quick Start

Use the trellis-check skill to review my recent code changes and identify any quality issues before committing.

Frequently Asked Questions about trellis-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify code quality and check for spec drift before committing changes?

Code quality verification checks recently written changes against project standards, lint rules, type safety, and automated tests to identify missing tests or specification drift before a commit.

What is cross-layer consistency checking in software development?

Cross-layer consistency checking validates data flow, dependency usage, code reuse, and implementation consistency across application layers to catch integration problems early.

How do I run pre-commit validation for linting and type checking?

Pre-commit validation applies structured verification workflows to run linting, type checking, and automated tests against changed code to ensure it meets project requirements before shipping.

Can I use automated checks to find missing tests in my recent code changes?

Automated checks review recently implemented features to identify missing tests, specification drift, and integration problems before the code is committed.

Does code review work with data flow integrity validation across application layers?

Code review validates data flow integrity and dependency usage across application layers, ensuring code reuse patterns and implementation consistency meet project quality standards.

What's the best way to catch integration problems before shipping code changes?

Catching integration problems before shipping requires a structured verification workflow that applies automated checks, spec compliance validation, and cross-layer consistency reviews to recent code changes.