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Skills IA testing security testing

Découvrez les skills testing security testing, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security testing

649–672 sur 4,432

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GitHub

mobile-app-testing

aj-geddes

Comprehensive mobile app testing strategies for iOS and Android. Covers unit tests, UI tests, integration tests, performance testing, and test automation with Detox, Appium, and XCTest.

GitHub

cypress-e2e-testing

influxdata

Run, validate, and analyze Cypress E2E tests for the InfluxData documentation site. Covers Hugo server management, test execution modes, and failure analysis.

GitHub

dotnet-test

NikiforovAll

This skill should be used when running .NET tests selectively with a build-first, test-targeted workflow. Use it for running tests with xUnit focus.

GitHub

mutation-test

jmagly

Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.

GitHub

flaky-fix

jmagly

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

GitHub

vitest-runner

jmagly

Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

GitHub

flaky-fix

jmagly

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair. Use when relevant to the task.

GitHub

generate-factory

jmagly

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

GitHub

mutation-test

jmagly

Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.

GitHub

pytest-runner

jmagly

Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.

GitHub

test-sync

jmagly

Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.

GitHub

test-coverage

jmagly

Analyze test coverage, identify gaps, and recommend test improvements. Use when relevant to the task.

GitHub

generate-factory

jmagly

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

GitHub

update-storybook-snapshots

cartridge-gg

Update Storybook visual regression snapshots after intentional UI changes. Use when visual tests fail due to expected changes, or when asked to update snapshots.

GitHub

run-tests

cartridge-gg

Run the test suite for the Cartridge Controller monorepo. Use when validating changes, before committing, or when asked to run tests.

GitHub

testing-web-applications

team-mirai-volunteer

Executes browser-based QA tests using agent-browser CLI, covering happy paths and error paths. Use when testing web apps, verifying UI behavior, running E2E tests, or capturing screenshots on localhost.

GitHub

condition-based-waiting

rileyhilliard

Fixes flaky tests by replacing arbitrary timeouts with condition polling. Use when tests fail intermittently, have setTimeout delays, or involve async operations that need proper wait conditions.

GitHub

writing-tests

rileyhilliard

Writes behavior-focused tests using Testing Trophy model with real dependencies. Use when writing tests, choosing test types, or avoiding anti-patterns like testing mocks.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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