Testing skills

Property-based testing guidance for multiple languages and smart contracts

Systematically QA test a web application with browser-based bug fixing. Four modes: diff-aware (automatic on feature branches), full (systematic exploration), quick (30-second smoke test), regression (compare against…

Report-only QA — same browser-based testing as qa but documents bugs with screenshots and repro steps only, no code changes. Health score formula weighted across 8 categories. Outputs to .gstack/qa-reports/.

Use when implementing any feature or bugfix, before writing implementation code

Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans across functional, performance, and security testing.

Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes

Skills from the Trail of Bits Application Security Testing Handbook (appsec.guide)

Use when creating, improving, finding, or auditing agent skills - the user says 'create a skill', 'do I have a skill for X', 'improve the X skill', 'which skill should I use', asks whether a skill exists for a task, or…

Write and edit test files that model real user flows. Use when creating, modifying, or reviewing test files.

Assess F1 applicability, then validate changed product workflows or the F1 harness end-to-end. Skip drives and reports when no relevant workflow behavior changes.

Invoke when dev-testing a Cyrus change that spans CYPACK (edgeworker + CLI) and CYHOST (Vercel-hosted GUI) and the hosted GUI needs to point at an unreleased `cyrus-core` from this repo. Publishes `cyrus-core` (and…

帮助开发者为 Vue 3 组件编写单元测试。当用户需要添加单元测试时使用。

使用 Vitest 和 Vue Test Utils 的标准模版与断言技巧

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.

AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type

Modern, performant, optimized for DX/AX. Develop powerful apps, clouds & framework-agnostic libraries—faster.

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples

Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria

Runs feature-scoped mutation testing to validate test suite quality. Use after implementation to verify tests catch real bugs (kill rate >= 80%).

Minimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.