What happens if a task fails the verification check?

The skill documents all failures, prioritizes the necessary fixes, and returns the task to the development phase for a new iteration, repeating until all criteria are satisfied.

How does the verification loop reduce technical debt?

It ensures that no task is marked complete until all tests pass, linting errors are resolved, and acceptance criteria are met, preventing bugs from accumulating in the codebase.

Does it integrate with existing build tools?

Yes, it is designed to interpret results from standard tools like Playwright, npm, and TypeScript compilers to make informed decisions about task completion status.

Can this skill handle visual and responsive testing?

Yes, the skill includes specific criteria and checklists for mobile and desktop responsiveness, including screenshot capture and touch target validation.

Automated Verification Loop

Name: Automated Verification Loop
Author: usmanali4073

byusmanali4073

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Security & Testing

Implements a rigorous QA-to-Development feedback cycle to ensure all technical and functional requirements are met before task completion.

About

The Verification Loop skill establishes a systematic gatekeeping process that prevents premature task completion by enforcing strict quality standards and implementation patterns. It coordinates between development and QA phases, ensuring that code not only builds and passes linting but also satisfies all specific acceptance criteria, functional tests, and visual requirements through iterative feedback cycles until a 100% pass rate is achieved. This skill is essential for maintaining high-velocity development without sacrificing software quality or accumulating technical debt.

Key Features

Automated completion criteria validation for linting, builds, and tests
1 GitHub stars
Iterative feedback loop between QA and Development agents
Visual and responsive design validation including mobile and desktop checks
Detailed verification reporting with pass/fail metrics and evidence
Structured acceptance criteria tracking for functional and quality requirements

Use Cases

Managing complex feature rollouts that require multi-platform responsive testing
Automating the handoff between coding and testing agents in an AI-driven workflow
Preventing technical debt by blocking tasks with failing tests or console errors

About

Key Features

Automated completion criteria validation for linting, builds, and tests
1 GitHub stars
Iterative feedback loop between QA and Development agents
Visual and responsive design validation including mobile and desktop checks
Detailed verification reporting with pass/fail metrics and evidence
Structured acceptance criteria tracking for functional and quality requirements

Use Cases

Managing complex feature rollouts that require multi-platform responsive testing
Automating the handoff between coding and testing agents in an AI-driven workflow
Preventing technical debt by blocking tasks with failing tests or console errors