What is the Code Verification Loop skill?

It is a systematic quality assurance framework that guides Claude through six phases: build, type check, lint, test, security scan, and diff review.

How does the security scan work?

It performs automated pattern matching to detect exposed API keys, secrets (like 'sk-'), and unwanted console logs in your source files.

When should I use this skill in my workflow?

You should invoke this skill after completing a feature, performing a major refactor, or immediately before creating a Pull Request.

Does it support multiple programming languages?

Yes, it includes specific validation commands for TypeScript/JavaScript (npm/pnpm/tsc/eslint) and Python (pyright/ruff) environments.

What happens if a verification stage fails?

The skill instructs Claude to stop the loop, report the specific errors, and fix them before attempting to proceed to the next stage.

Code Verification Loop

Name: Code Verification Loop
Author: unju-ai

byunju-ai

0•

Security & Testing

Implements a systematic multi-stage verification process to ensure code quality, security, and build stability before every Pull Request.

The Code Verification Loop skill provides a comprehensive 6-stage quality assurance framework for Claude Code sessions. It guides the AI through build validation, type checking, linting, test suite execution with coverage targets, security secret scanning, and git diff reviews. This skill ensures that all code changes meet professional standards and remain bug-free, making it an essential tool for developers aiming for production-grade code and seamless PR approvals by providing a standardized verification report.

Key Features

01Automated security scanning for exposed secrets and leftover debug logs.

02Integrated test coverage reporting with target threshold monitoring.

03Standardized Verification Report output for clear 'Ready for PR' status.

04Multi-stage validation pipeline covering build, types, linting, and tests.

050 GitHub stars

06Bilingual support for both TypeScript/Node.js and Python environments.

Use Cases

01Verifying system integrity after major refactoring or architectural changes.

02Automating multi-language linting and type checking in long-running AI sessions.

03Ensuring code quality and passing all gates before submitting a Pull Request.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unju-ai/ecc verification-loop

For use in Claude.ai and ChatGPT