test-tagging

name	test-tagging
description	Analyzes test suites and tags each test with a standardized set of traits (e.g., positive, negative, critical-path, boundary, smoke, regression). Use when the user wants to categorize, audit, or label tests with traits. Do not use for writing new tests, running tests, or migrating test frameworks.
license	MIT

Test Trait Tagging

Analyze an existing test suite and apply a standardized set of trait tags to each test method, giving teams visibility into their test distribution (positive vs. negative, critical-path coverage, smoke tests, etc.).

When to Use

• Auditing a test project to understand the mix of test types
• Adding trait attributes to untagged tests
• Generating a summary report of trait distribution across a test suite
• Reviewing whether critical paths have sufficient coverage

When Not to Use

• Writing new tests from scratch (use writing-mstest-tests)
• Running or filtering tests (use run-tests)
• Migrating between test frameworks

Inputs

Input	Required	Description
Test project or files	Yes	Path to the test project, folder, or specific test files to analyze
Scope	No	tag (apply attributes), audit (report only), or both (default: both)
Framework	No	Auto-detected. Override with mstest, xunit, or nunit if detection fails

Trait Taxonomy

Use exactly these trait names and values. Do not invent new trait values outside this table.

Trait Value	Meaning	Heuristics
positive	Verifies expected behavior under normal/valid conditions	Asserts success, valid output, expected state, no exceptions for valid input
negative	Verifies correct handling of invalid input, errors, or edge cases	Asserts exceptions, error codes, validation failures, rejects bad input
boundary	Tests limits, thresholds, empty/null inputs, min/max values	Operates on 0, -1, int.MaxValue, empty string, null, empty collection, boundary of valid range
critical-path	Core workflow that must never break; breakage blocks users	Tests the primary success scenario of a key public API or user-facing feature
smoke	Quick sanity check that the system is operational	Fast, no complex setup, verifies basic wiring (e.g., service resolves, endpoint returns 200)
regression	Reproduces a specific previously-reported bug	References a bug ID, issue number, or describes a fix in its name or comments
integration	Crosses process, network, or persistence boundaries	Uses real database, HTTP client, file system, external service, or multi-component setup
end-to-end	Full user workflow spanning the entire application stack	Exercises a complete scenario from entry point to final result, distinct from single-boundary integration
performance	Validates timing, throughput, or resource consumption	Asserts on elapsed time, memory, allocations, or uses benchmark harness
security	Verifies authentication, authorization, input sanitization, or secrets handling	Tests for SQL injection, XSS, CSRF, unauthorized access, token validation, permission checks
concurrency	Validates thread safety, parallelism, or async correctness	Uses Task.WhenAll, locks, Parallel.ForEach, SemaphoreSlim, reproduces race conditions
resilience	Tests retry logic, timeouts, circuit breakers, or graceful degradation	Asserts behavior under transient failures, network drops, or service unavailability (e.g., Polly policies)
destructive	Mutates shared or external state that is hard to roll back	Deletes records, drops resources, modifies global config -- useful for CI isolation decisions
configuration	Verifies settings loading, defaults, environment behavior	Tests missing config keys, invalid values, environment variable fallbacks, options validation
flaky	Known to intermittently fail (meta-tag for test health tracking)	Mark tests the team knows are unreliable; used to quarantine or prioritize stabilization

A single test may have multiple traits (e.g., both negative and boundary). At minimum, every test should receive one of positive or negative.

Workflow

Step 1: Detect the test framework

Examine project files and source code to determine the framework — see the dotnet-test-frameworks skill for the complete detection table (package references, test markers, assertion APIs, and skip annotations).

Step 2: Scan existing traits

Check which tests already have trait attributes:

Framework	Existing Attribute	Example
MSTest	[TestCategory("...")]	[TestCategory("positive")]
xUnit	[Trait("Category", "...")]	[Trait("Category", "positive")]
NUnit	[Category("...")]	[Category("positive")]

Record which tests already have tags to avoid duplication.

Step 3: Classify each test method

For each test method without traits, analyze:

1. Method name -- names containing Invalid, Fail, Error, Throw, Reject, BadInput, Null, Negative suggest negative
2. Assertion type -- Assert.ThrowsException, Assert.Throws, Should().Throw() suggest negative
3. Input values -- null, "", 0, -1, int.MaxValue, int.MinValue, empty collections suggest boundary
4. Setup complexity -- minimal setup with basic assertions suggests smoke; external dependencies suggest integration
5. Comments and names -- references to issue numbers or "regression" / "bug" / "fix for #..." suggest regression
6. Timing assertions -- Stopwatch, BenchmarkDotNet, elapsed-time checks suggest performance
7. Feature centrality -- tests on primary public API entry points or critical user workflows suggest critical-path
8. Security patterns -- validates auth, checks permissions, sanitizes input, tests for injection, handles tokens/secrets suggest security
9. Parallel/async constructs -- Task.WhenAll, Parallel.ForEach, locks, SemaphoreSlim, ConcurrentDictionary, race condition names suggest concurrency
10. Fault injection -- simulates failures, tests retries, timeouts, or circuit breakers suggest resilience
11. State mutation -- deletes external records, drops resources, modifies shared/global state suggest destructive
12. Full-stack flow -- test spans entry point through data layer to final response, covering a complete user scenario suggest end-to-end
13. Config/settings -- loads configuration, tests missing keys, validates options, checks environment variables suggest configuration
14. Known instability -- test has [Ignore]/[Skip] comments about flakiness, or names contain "flaky"/"intermittent" suggest flaky
15. Default -- if the test verifies a normal success path, tag positive

When in doubt between positive and negative, read the assertion: if it asserts success -> positive; if it asserts failure -> negative.

Step 4: Apply trait attributes

Add the appropriate attribute to each test method. Place trait attributes on the line directly above or below the existing test attribute.

MSTest:

[TestMethod]
[TestCategory("negative")]
[TestCategory("boundary")]
public void Parse_NullInput_ThrowsArgumentNullException() { ... }

xUnit:

[Fact]
[Trait("Category", "positive")]
[Trait("Category", "critical-path")]
public void CreateOrder_ValidItems_ReturnsConfirmation() { ... }

NUnit:

[Test]
[Category("regression")]
[Category("negative")]
public void Calculate_OverflowInput_ReturnsError() // Fix for #1234
{ ... }

Step 5: Generate trait summary

After tagging, produce a summary table:

## Trait Distribution

| Trait         | Count | % of Total |
|---------------|-------|------------|
| positive      |    42 |      53.8% |
| negative      |    22 |      28.2% |
| boundary      |     8 |      10.3% |
| critical-path |    12 |      15.4% |
| smoke         |     3 |       3.8% |
| regression    |     5 |       6.4% |
| integration   |     4 |       5.1% |
| end-to-end    |     2 |       2.6% |
| performance   |     1 |       1.3% |
| security      |     3 |       3.8% |
| concurrency   |     2 |       2.6% |
| resilience    |     1 |       1.3% |
| destructive   |     1 |       1.3% |
| configuration |     2 |       2.6% |
| flaky         |     1 |       1.3% |
| **Total tests** | **78** | -- |

Note: Percentages exceed 100% because tests can have multiple traits.

Include observations such as:

• Ratio of positive to negative tests
• Whether critical-path tests exist for key public APIs
• Any tests that could not be confidently classified (list them for manual review)

Validation

• Every test method has at least one trait attribute (positive or negative at minimum)
• No invented trait values outside the taxonomy table
• Existing trait attributes were preserved, not duplicated
• The trait summary table was generated
• The project still builds after changes (dotnet build)

Common Pitfalls

Pitfall	Solution
Guessing traits without reading the test body	Always read assertions and setup to classify accurately
Tagging a test only as boundary without positive/negative	Every test should also be positive or negative -- boundary is additive
Using TestCategory syntax in an xUnit project	Match the attribute style to the detected framework
Duplicating an existing category attribute	Check for pre-existing traits in Step 2 before adding
Over-tagging as critical-path	Reserve for tests on primary public entry points, not every helper