Is this skill suitable for CI/CD pipelines?

Absolutely. It is designed to provide consistent, machine-readable reporting that is ideal for integration into automated deployment and integration workflows.

What is the purpose of the workcell_path parameter?

The workcell_path specifies the target directory or module that the quality gates should be executed against.

How does the skill report results?

It returns a structured output containing an all_passed boolean, detailed per-gate metrics (exit codes and duration), and a specific list of blocking failures.

What tools does the Quality Gate Runner support?

It orchestrates pytest for unit testing, mypy for static type checking, ruff for linting, and fab for specific validation tasks.

Can I stop the validation process on the first error?

Yes, by setting the fail_fast parameter to true, the runner will stop immediately upon encountering its first failure.

Quality Gate Runner

Name: Quality Gate Runner
Author: ConnorWhelan11

byConnorWhelan11

Security & Testing

Orchestrates comprehensive code quality checks including testing, linting, and type-checking with standardized reporting.

About

The Quality Gate Runner skill streamlines the development workflow by centralizing diverse quality assurance tools like pytest, mypy, and ruff into a single orchestration engine. It ensures that every code change meets project-specific standards by executing a suite of validation 'gates' and providing clear, actionable feedback on blocking failures. This skill is essential for maintaining high code integrity in automated development environments, allowing developers to catch regressions and style inconsistencies before code promotion.

Key Features

0 GitHub stars
Standardized verification reporting format
Configurable fail-fast logic for immediate feedback
Detailed reporting of blocking failures and durations
Automated workcell validation support
Unified orchestration of pytest, mypy, and ruff

Use Cases

Generating consistent quality reports for CI/CD integration
Standardizing quality checks across multiple development workcells
Automating pre-commit or pre-merge code validation

About

Key Features

0 GitHub stars
Standardized verification reporting format
Configurable fail-fast logic for immediate feedback
Detailed reporting of blocking failures and durations
Automated workcell validation support
Unified orchestration of pytest, mypy, and ruff

Use Cases

Generating consistent quality reports for CI/CD integration
Standardizing quality checks across multiple development workcells
Automating pre-commit or pre-merge code validation