verify-standards

Verify coding standards and CI gates across repository configurations.

1|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/Rwanbt/HireLens --skill verify-standards-rwanbt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verify-standards
Source: https://github.com/Rwanbt/HireLens/tree/main/.agents/skills/verify-standards
Command: npx skills add https://github.com/Rwanbt/HireLens --skill verify-standards-rwanbt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of maintaining consistent coding standards and project governance by automating the verification of CI gates, AI assistant rules, and team documentation.

Core Features & Use Cases

  • Automated Compliance Scoring: Evaluates project health across three tiers: CI/CD, AI-native instructions (AGENTS.md), and team governance.
  • Actionable Feedback: Provides a clear scorecard and identifies the single most important next step to improve codebase quality.
  • Use Case: Use this before a major release or after a significant refactor to ensure that your project adheres to defined architectural and quality standards.

Quick Start

Run the verify standards skill to audit the current repository and generate a quality scorecard.

Frequently Asked Questions about verify-standards

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

FAQPage Schema
How do I automate project quality and compliance audits for my repository?

Automate project quality audits by running validation scripts that check CI gates, AI assistant instructions, and team governance documentation to generate a scored health report with actionable improvement tasks.

Do I need git and standard Unix shell utilities to verify coding standards compliance?

Yes, you need git and standard Unix shell utilities to execute environment-specific validation scripts that verify coding standards compliance across repository-level configurations.

What does automated compliance scoring evaluate when checking codebase quality?

Automated compliance scoring evaluates codebase quality across three tiers: CI/CD configurations, AI-native instructions like AGENTS.md, and team governance documentation to produce a health scorecard.

When should I run an automated audit to verify project standards?

Run an automated audit to verify project standards before a major release or after a significant refactor to ensure the codebase adheres to defined architectural and quality standards.

How do I identify the most important next step to improve codebase quality after an audit?

After completing an audit, the generated scorecard identifies the single most important next step to improve codebase quality by analyzing your CI gates and governance documentation gaps.