How does the GO/NO-GO decision work?

If all tests pass and the code meets the specification, it issues a 'GO' status. If issues are found, it issues a 'NO-GO' with specific failure details and suggested fixes to guide the rebuild phase.

What happens if an evaluation fails?

The skill documents the specific failure reasons, analyzes warnings, and provides suggested fixes to assist the developer or AI in correcting the errors during a retry loop.

Can this skill handle different types of tests?

Yes, it is designed to execute comprehensive test suites including unit, integration, and end-to-end (E2E) tests as part of its evaluation workflow.

What is the primary function of the Faber Evaluate skill?

It acts as a quality assurance gate that runs tests, reviews code quality, and decides if an implementation is ready for release or requires further building.

Faber Evaluate

Name: Faber Evaluate
Author: fractary

byfractary

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Seguridad y Pruebas

Automates the testing and quality review phase of the FABER workflow to ensure code meets specifications before release.

Acerca de

The Faber Evaluate skill serves as a critical quality gate in the development lifecycle, specifically designed for the FABER methodology. It systematically executes unit, integration, and E2E tests while performing deep code reviews for linting, security, and architectural compliance. By providing automated GO/NO-GO decisions based on objective test results and specification alignment, it identifies implementation gaps and generates actionable feedback, triggering necessary retries in the build phase until the code is production-ready.

Características Principales

Automated code quality and security linting
Detailed failure analysis with actionable fix suggestions
Intelligent GO/NO-GO decision logic for workflow control
Comprehensive test execution including Unit, Integration, and E2E
2 GitHub stars
Specification compliance verification against architectural plans

Casos de Uso

Validating feature implementations against original architectural specifications
Automating the feedback loop between the coding and testing phases
Ensuring code quality standards and security best practices are met before deployment

Acerca de

Características Principales

Automated code quality and security linting
Detailed failure analysis with actionable fix suggestions
Intelligent GO/NO-GO decision logic for workflow control
Comprehensive test execution including Unit, Integration, and E2E
2 GitHub stars
Specification compliance verification against architectural plans

Casos de Uso

Validating feature implementations against original architectural specifications
Automating the feedback loop between the coding and testing phases
Ensuring code quality standards and security best practices are met before deployment