What languages does Verification Loop support?

It currently includes built-in configurations for TypeScript/JavaScript (using npm, pnpm, and npx) and Python (using pyright and ruff).

How does this differ from standard Git hooks?

While hooks catch immediate issues, this skill provides a deeper, comprehensive review and a formatted report of the entire project's health within the AI session.

Does it check for security vulnerabilities?

Yes, it performs security scans to detect hardcoded API keys, secrets, and leftover debugging code such as console.log statements.

When should I trigger a verification loop?

You should invoke this skill after completing a feature, before creating a PR, after refactoring, or every 15 minutes during long coding sessions.

How does it handle test coverage?

The skill runs your test suite with coverage flags and reports the total tests passed versus failed, targeting a default minimum coverage of 80%.

Verification Loop

Name: Verification Loop
Author: WorldFlowAI

byWorldFlowAI

Security & Testing

Automates a comprehensive multi-phase quality assurance workflow including builds, type checking, testing, and security scanning.

About

Verification Loop is a robust quality assurance framework designed to automate the multi-phase validation of code changes during Claude Code sessions. It guides the AI through build verification, static analysis, unit testing with coverage reporting, and security auditing to ensure all changes meet production standards before a pull request is created. By providing a structured, standardized verification report, it helps developers catch regressions, type errors, and exposed secrets early in the development cycle, making it an essential tool for high-integrity AI-assisted development.

Key Features

Security scanning for hardcoded secrets and leftover debug logs
0 GitHub stars
Continuous checkpointing for long-running development sessions
Automated test suite execution with coverage threshold monitoring
Standardized verification reports summarizing PR readiness
Multi-phase build and type-checking validation for TypeScript and Python

Use Cases

Performing final quality gates before opening a Pull Request
Catching regressions immediately after implementing new features
Ensuring system integrity after complex refactoring tasks

About

Key Features

Security scanning for hardcoded secrets and leftover debug logs
0 GitHub stars
Continuous checkpointing for long-running development sessions
Automated test suite execution with coverage threshold monitoring
Standardized verification reports summarizing PR readiness
Multi-phase build and type-checking validation for TypeScript and Python

Use Cases

Performing final quality gates before opening a Pull Request
Catching regressions immediately after implementing new features
Ensuring system integrity after complex refactoring tasks