Configures Stryker.NET for mutation testing of .NET Core / .NET Framework projects - installs `dotnet-stryker` global tool, scopes mutation to specific csproj, supports xUnit / NUnit / MSTest, authors `stryker-config.json` with thresholds, runs in CI. Use when a .NET test suite needs mutation-quality verification - closes the .NET ecosystem gap left by Stryker.NET being newer than the JS variant.
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Stryker.NET brings mutation testing to .NET Core and .NET Framework projects,
distributed as the dotnet-stryker global tool (introduction).
dotnet tool install -g dotnet-stryker
Per-project (recommended for CI determinism):
dotnet new tool-manifest
dotnet tool install dotnet-stryker
# From the test project directory
cd MyApp.Tests
dotnet stryker
The first run discovers the test framework, reports baseline coverage, then mutates and re-tests.
stryker-config.jsonPer stryker-net-config, every option nests under a single
stryker-config root object; Stryker.NET publishes no JSON schema, so
there is no $schema key to reference.
{
"stryker-config": {
"project": "../MyApp/MyApp.csproj",
"test-projects": ["MyApp.Tests.csproj"],
"mutation-level": "Standard",
"thresholds": { "high": 80, "low": 60, "break": 50 },
"concurrency": 4,
"reporters": ["progress", "html", "cleartext"]
}
}
mutation-level controls how aggressive mutations are:
Basic (fewest mutators)Standard (default, recommended)AdvancedComplete (most mutators; slowest)For multi-project solutions:
dotnet stryker --solution path/to/MyApp.sln
Stryker.NET discovers all test projects and mutates the production projects each test references.
- uses: actions/setup-dotnet@v4
with: { dotnet-version: '8.x' }
- run: dotnet tool restore
- run: dotnet stryker --break-at 50
- uses: actions/upload-artifact@v4
if: always()
with:
name: stryker-net-report
path: StrykerOutput/
Reports land under StrykerOutput/<timestamp>/reports/mutation-report.html.
Standard-level mutators cover arithmetic and logical operators, equality, conditional boundary and negation, return-value, statement removal, and string literal. A surviving mutant means the test suite doesn't distinguish the original behavior from the mutated one. Example - conditional boundary:
| Mutator | Example |
|---|---|
| Conditional boundary | < → <=, > → >= |
The full mutator table and the stryker-config.json option list are in
references/stryker-net-mutators.md.
MyApp ships a PricingService; MyApp.Tests uses xUnit and is green.
dotnet tool install -g dotnet-stryker, then from MyApp.Tests run dotnet stryker once to confirm xUnit discovery.stryker-config.json pointing project at ../MyApp/MyApp.csproj, mutation-level Standard, thresholds { "high": 80, "low": 60, "break": 50 }.dotnet stryker writes StrykerOutput/<timestamp>/reports/mutation-report.html, which flags a surviving conditional-boundary mutant: qty > 0 mutated to qty >= 0.qty == 0; re-running dotnet stryker kills the mutant and lifts the score above the break threshold.dotnet stryker --break-at 50 and upload StrykerOutput/.| Anti-pattern | Why it fails | Fix |
|---|---|---|
| Running on the entire solution every PR | Long runtime; team disables. | Scope to changed projects via --project. |
mutation-level: Complete from day one | Slowest mode; many irrelevant mutants. | Start Standard; promote to Complete for critical libraries. |
| Ignoring "no coverage" mutants in the report | Untested code; mutation testing can't measure it. | Add tests OR exclude those files via --mutate. |
Skipping --break-at in CI | Mutation score regressions slip through. | Set --break-at to baseline + small headroom (Step 5). |
| Running against a Debug build | Slower; some mutators behave differently. | Run against Release build for CI gates. |
stryker-config.json / .yaml file format and the
full option list.stryker-mutation - JS sibling
with the same Stryker model.pitest-mutation,
mutmut-mutation,
mull-mutation - per-language
alternatives.还没有评价。欢迎分享你的使用感受。
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Builds a CI gate that fails the build on **new** WCAG / a11y violations introduced by a PR while grandfathering pre-existing violations on a per-rule / per-page baseline. Aggregates verdicts from axe-core / pa11y / Lighthouse a11y / WAVE / IBM Equal Access scans. Use when a project has accumulated a11y debt and a strict "zero violations" gate would block every PR - the ratchet pattern lets the team ship while preventing regressions.
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Workflow skill that builds an A/B-test validity checklist from an experiment proposal, walking the canonical design-correctness gates - pre-registered OEC/power/guardrails, randomization unit + SRM check, assignment integrity, telemetry, peeking discipline, novelty/primacy, post-experiment SRM re-check - into a per-experiment checklist + sign-off form. Use when launching, auditing, or governing an experiment. For pitfall mechanics (guardrails, peeking) see experiment-results-interpreter's references; to read an already-valid result use experiment-results-interpreter; for per-SDK harness tests use experiment-sdk-testing - this gates DESIGN, not SDK code.
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The single install-flow skill: the reference contract for the PWA install flow (installability gate fields, `beforeinstallprompt` handshake, per-platform paths - Android WebAPK / iOS Share menu / Firefox no-op - and the `display-mode` post-install signal, in references/install-flow-reference.md) plus the build-an-X workflow that emits the Add-to-Home-Screen suite. Walks the four-stage timeline, emitting one test per gate cell per [web.dev/articles/install-criteria][install-criteria], the deferred-prompt → `prompt()` → `userChoice` chain per [web.dev/articles/customize-install][customize-install], the iOS Safari manual-metadata branch (`apple-touch-icon`) per [web.dev/learn/pwa/installation][learn-pwa], and the post-install `(display-mode: standalone)` MQ assertion. Output: a Playwright spec with per-stage cells plus a coverage matrix. Use when a PWA's manifest, icons, or install handler change, when install conversion drops at an unknown stage, or when triaging a flaky install assertion.
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Build-an-X workflow that uses an LLM to map existing tests to spec sections - given a spec doc + the test suite, the LLM identifies which tests cover which sections, surfaces uncovered sections (gap), and recommends specific tests to add. Output is a coverage matrix per spec ID. Scope is mapping tests that already exist and naming the gaps, not authoring tests for new acceptance criteria. Use when a spec doc and a test suite both exist but nobody can say which requirements are actually covered - before a release sign-off, an audit, or a decision about where to spend the next round of test effort.
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Generates tests from natural-language specs (acceptance criteria, user stories, requirements) using an LLM, with confidence scoring per test case (LLM self-assessment plus heuristics: assertion quality, naming, completeness), batching uncertain cases for human review, and integration with the team's existing test framework. Use when the user asks to generate unit tests from acceptance criteria, convert user stories to test cases, automate test creation from requirements, or augment a spec-driven test suite with AI-generated stubs that are then curated before merge.
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Configures Allure Report (test-runner adapter install, `allure-results` directory wiring, `categories.json` for failure classification, `history-trend.json` retention via the copy-history-between-runs pattern), runs the Allure CLI to convert `allure-results` to a static HTML site, and uploads the report as a CI artifact. Use when the team needs richer test reporting than JUnit XML - step-level attachments, per-test history, retry tracking, and severity / epic / feature labeling across framework-agnostic adapters (pytest, Jest, JUnit, TestNG, NUnit, Mocha). As a rich static HTML report generator, it is the open-source alternative to the sunset ExtentReports (JVM/.NET per-test HTML narrative); for hosted cross-run flakiness analytics rather than a static per-run report use currents-integration.
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