name: exp-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

Trait Taxonomy

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

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 exp-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:

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