What does BAZINGA mean in this context?

In this specific workflow, BAZINGA is a signal sent by a Project Manager AI to indicate that a task is finished. This skill acts as the final judge to prove that claim is true.

Can I use this skill during active development?

No, this skill is designed specifically as a final quality gate and should only be invoked when a completion signal is sent to avoid unnecessary overhead during iterations.

Which programming languages does the validator support?

The validator includes built-in support for Node.js (npm), Python (pytest), and Go (go test), and can be configured for other environments via bash commands.

What happens if the validator finds a test failure?

It will issue a REJECT verdict, providing a detailed breakdown of the failures and instructing the AI to fix the issues before attempting another completion claim.

Does it check if the AI skipped part of my request?

Yes, it includes a mandatory Scope Validation step that compares the final output against the original user request and session metadata to prevent unauthorized scope reduction.

Bazinga Validator

Name: Bazinga Validator
Author: mehdic

bymehdic

Seguridad y Pruebas

Validates project completion claims through independent verification of tests, coverage, and success criteria.

Acerca de

Bazinga Validator acts as a rigorous quality gate within the Claude Code environment, ensuring that project completion claims (triggered by the 'BAZINGA' signal) are accurate and evidence-based. It independently queries success criteria from the bazinga-db, executes test suites across various languages including Node.js, Python, and Go, verifies code coverage targets, and flags vague or unmeasurable requirements. By maintaining a skeptical stance, it prevents premature task completion and ensures that all user-defined goals and scope requirements are fully met before a session is finalized.

Características Principales

Independent verification of code coverage and numeric success criteria
Automated test execution and result parsing for multiple languages
Detection and rejection of vague or unmeasurable project criteria
Path B external blocker validation to ensure issues aren't fixable internally
0 GitHub stars
Scope mismatch detection between initial requests and delivered work

Casos de Uso

Acting as a final automated gatekeeper before merging or closing a complex development task
Verifying that a project manager AI hasn't prematurely claimed victory or reduced scope without authorization
Ensuring zero-tolerance compliance with test pass rates and coverage metrics in automated workflows

Acerca de

Características Principales

Independent verification of code coverage and numeric success criteria
Automated test execution and result parsing for multiple languages
Detection and rejection of vague or unmeasurable project criteria
Path B external blocker validation to ensure issues aren't fixable internally
0 GitHub stars
Scope mismatch detection between initial requests and delivered work

Casos de Uso

Acting as a final automated gatekeeper before merging or closing a complex development task
Verifying that a project manager AI hasn't prematurely claimed victory or reduced scope without authorization
Ensuring zero-tolerance compliance with test pass rates and coverage metrics in automated workflows