Where does the skill report its findings?

The skill generates a structured JSON verdict for the workflow and posts a detailed summary comment directly to the relevant task in Linear.

Can I run a subset of tests to save time?

No, this skill is designed to run the full test suite to guarantee that no part of the application has been inadvertently affected by recent changes.

Does this skill fix broken tests automatically?

No, the Regression Checker is strictly a reporting tool. It identifies and logs failures to ensure quality but does not modify the codebase or attempt to fix tests.

How does it handle complex environment setups?

It specifically reads the 'docs/project/runbook.md' file to retrieve exact test commands, including Docker instructions and environment variables, rather than guessing.

Regression Checker

Name: Regression Checker
Author: levnikolaevich

bylevnikolaevich

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Security & Testing

Runs existing test suites automatically to detect code regressions and ensure project stability after implementation changes.

About

The ln-502-regression-checker is a specialized quality gate worker designed to verify code changes against existing test suites. It automatically discovers frameworks like Pytest, Jest, or Vitest and consults the project's runbook for environment-specific execution commands, ensuring accurate and isolated test runs. By providing a clear PASS/FAIL verdict with detailed failure reports and Linear integration, this skill acts as a critical checkpoint in the delivery workflow, preventing regressions before moving to the next stage of development without altering the codebase or task statuses.

Key Features

Runbook-driven execution using project-specific commands and Docker configurations
Bilingual support for reporting results in English or Russian
Comprehensive full-suite execution with a built-in safety timeout
Auto-discovery of testing frameworks including Pytest, Jest, Vitest, and Go
Automated result parsing with detailed failure summaries and counts
38 GitHub stars

Use Cases

Automating the first pass of a story quality gate before manual review
Standardizing test execution across repositories with varied tech stacks
Verifying that new implementations haven't broken existing functionality

About

Key Features

Runbook-driven execution using project-specific commands and Docker configurations
Bilingual support for reporting results in English or Russian
Comprehensive full-suite execution with a built-in safety timeout
Auto-discovery of testing frameworks including Pytest, Jest, Vitest, and Go
Automated result parsing with detailed failure summaries and counts
38 GitHub stars

Use Cases

Automating the first pass of a story quality gate before manual review
Standardizing test execution across repositories with varied tech stacks
Verifying that new implementations haven't broken existing functionality