Official agent skill

Test Tagging

by microsoft in microsoft/testfx

Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security).

OfficialMITAuto-check passedTesting & QA

Install Test Tagging

skills CLI
$ npx skills add microsoft/testfx --skill test-tagging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/testfx test-tagging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/testfx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/test-tagging .claude/skills/test-tagging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
test-tagging
GitHub stars
1k
Token cost
~4.3k tokens
SKILL.md length
1,641 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security).

  • Works in 5 steps: Detect the language, framework, and… → Scan existing traits → Classify each test method → …
  • The user wants to categorize
  • SKILL.md covers When to Use, When Not to Use, Inputs and Trait Taxonomy, plus 3 more sections
  • Calls go, dotnet and pytest

What it does

Test Tagging is an agent skill from microsoft/testfx, published by the product's own GitHub organization. Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security). Use when the user wants to categorize, audit, or label tests with traits. Works with .NET (MSTest TestCategory / xUnit Trait / NUnit Category / TUnit Property), Python (pytest markers; unittest has no canonical tag syntax so report-only), TypeScript/JavaScript (Jest/Vitest test names, describe-block conventions), Java (JUnit…

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Unit testing and Test generation. It works with JUnit, TypeScript, .NET and Jest. The repository describes itself as: This repository holds the source code of Microsoft.Testing.Platform (MTP), a lightweight alternative to VSTest, as well as MSTest adapter and framework. The licence is MIT.

When your agent uses it

  • The user wants to categorize
  • Label tests with traits
  • Writing new tests
  • Migrating frameworks

Example prompts

  • “Use the test-tagging skill to analyz test suites in any language and tags each test with a standardized set of traits (positive, negative…”
  • “/test-tagging”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Detect the language, framework, and tagging capability
  2. Scan existing traits
  3. Classify each test method
  4. Apply trait attributes (or report only)
  5. Generate trait summary

What it can do on your machine

Read from SKILL.md and the folder at commit 44b9dcc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • dotnet
    • pytest
    • mvn
    • cargo
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Test Tagging loads about 4.3k tokens when it runs. Until then it costs about 254 tokens; SKILL.md has 1,641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~254
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/testfx at commit 44b9dcc, republished under its MIT licence (© microsoft). 1,641 words, ~4,327 tokens.

Download SKILL.mdSave it as .claude/skills/test-tagging/SKILL.md (or your agent's skills folder).
name
test-tagging
description
Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security). Use when the user wants to categorize, audit, or label tests with traits. Works with .NET (MSTest TestCategory / xUnit Trait / NUnit Category / TUnit Property), Python (pytest markers; unittest has no canonical tag syntax so report-only), TypeScript/JavaScript (Jest/Vitest test names, describe-block conventions), Java (JUnit 5 @Tag / TestNG groups), Go (subtest naming / build tags / file _test.go), Ruby (RSpec metadata), Rust (cargo test naming / cfg attributes), Swift (XCTest test plans / Swift Testing @Tag), Kotlin (JUnit @Tag / Kotest tags), PowerShell (Pester -Tag), C++ (GoogleTest filter prefixes / Catch2 [tags] / doctest decorators). Auto-edits when the framework has canonical syntax; falls back to report-only otherwise. Do not use for writing new tests, running tests, or migrating frameworks.
license
MIT

Test Trait Tagging

Analyze an existing test suite in any supported language 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.).

Language-specific guidance: Call the test-analysis-extensions skill to discover available extension files, then read the file matching the target codebase. The extension file documents framework-specific tag attributes and a "tag-support capability" (auto-edit, report-only, or convention-based) that drives whether this skill modifies source files or only emits a report.

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 code-testing-agent for any language, or writing-mstest-tests for MSTest)
  • Running or filtering tests (use run-tests for .NET; equivalent native runners elsewhere)
  • Migrating between test frameworks

Inputs

InputRequiredDescription
Test project or filesYesPath to the test project, folder, or specific test files to analyze
ScopeNotag (apply attributes when language supports auto-edit), audit (report only), or both (default: both). For languages with no canonical tag syntax, the skill emits a report regardless of scope.
FrameworkNoAuto-detected. Override when detection fails.

Trait Taxonomy

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

Trait ValueMeaningHeuristics
positiveVerifies expected behavior under normal/valid conditionsAsserts success, valid output, expected state, no exceptions for valid input
negativeVerifies correct handling of invalid input, errors, or edge casesAsserts exceptions, error codes, validation failures, rejects bad input
boundaryTests limits, thresholds, empty/null/None/nil inputs, min/max valuesOperates on 0, -1, int.MaxValue / sys.maxsize / Number.MAX_SAFE_INTEGER / math.MaxInt64 / i32::MAX, empty string, null/None/nil/undefined, empty collection, boundary of valid range
critical-pathCore workflow that must never break; breakage blocks usersTests the primary success scenario of a key public API or user-facing feature
smokeQuick sanity check that the system is operationalFast, no complex setup, verifies basic wiring (e.g., service resolves, endpoint returns 200)
regressionReproduces a specific previously-reported bugReferences a bug ID, issue number, or describes a fix in its name or comments
integrationCrosses process, network, or persistence boundariesUses real database, HTTP client, file system, external service, or multi-component setup
end-to-endFull user workflow spanning the entire application stackExercises a complete scenario from entry point to final result, distinct from single-boundary integration
performanceValidates timing, throughput, or resource consumptionAsserts on elapsed time, memory, allocations, or uses benchmark harness (BenchmarkDotNet, pytest-benchmark, benchmark.js, JMH, go test -bench, criterion.rs, XCTMetric, kotlinx-benchmark, Google Benchmark)
securityVerifies authentication, authorization, input sanitization, or secrets handlingTests for SQL injection, XSS, CSRF, unauthorized access, token validation, permission checks
concurrencyValidates thread safety, parallelism, or async correctnessUses Task.WhenAll / Parallel.ForEach / SemaphoreSlim (.NET); asyncio.gather / threading.Lock / multiprocessing (Python); Promise.all / worker threads (JS/TS); CompletableFuture / ExecutorService / synchronized (Java); go func / sync.WaitGroup / sync.Mutex / chan (Go); Mutex / Thread.new (Ruby); tokio::spawn / Arc<Mutex<_>> / crossbeam (Rust); DispatchQueue / actor (Swift); coroutineScope / Mutex (Kotlin); Start-Job / RunspacePool (PowerShell); std::thread / std::mutex (C++); reproduces race conditions
resilienceTests retry logic, timeouts, circuit breakers, or graceful degradationAsserts behavior under transient failures, network drops, or service unavailability (e.g., Polly, tenacity, p-retry, resilience4j, hystrix, opossum, retry-go)
destructiveMutates shared or external state that is hard to roll backDeletes records, drops resources, modifies global config -- useful for CI isolation decisions
configurationVerifies settings loading, defaults, environment behaviorTests missing config keys, invalid values, environment variable fallbacks, options validation
flakyKnown 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 language, framework, and tagging capability

Identify the codebase's language and test framework. Call the test-analysis-extensions skill and read the matching extension file. The extension file declares a tag-support capability for each framework:

  • auto-edit — framework has canonical tag syntax this skill can safely insert (.NET [TestCategory] / [Trait] / [Category] / [Property], pytest @pytest.mark.<name>, JUnit 5 @Tag("..."), TestNG groups = {"..."}, RSpec metadata it "..." , :tag => true, Pester -Tag '...', Kotest @Tags(...), Swift Testing @Tag(.tagName), Catch2 [tag], doctest * doctest::test_suite("tag") decorator).
  • report-only — framework has no canonical, agreed-upon tag attribute; report tags in a Markdown table only and do not edit source (Go standard testing without build-tag conventions, Jest/Vitest without consistent describe-prefix convention, Rust without project-specific cfg conventions, XCTest without a test plan, GoogleTest without test-name prefix conventions, Mocha without describe-prefix conventions).
  • convention-based — framework uses naming or file conventions for tagging (Go //go:build integration build tags, file-name suffixes like *_integration_test.go, GoogleTest INTEGRATION_* filter prefix). Only emit canonical edits when the user has confirmed the project convention; otherwise treat as report-only.

Capture the capability before Step 4.

Step 2: Scan existing traits

Check which tests already have trait attributes. Use the loaded language extension as the source of truth — examples:

FrameworkExisting AttributeExample
MSTest[TestCategory("...")][TestCategory("positive")]
xUnit[Trait("Category", "...")][Trait("Category", "positive")]
NUnit[Category("...")][Category("positive")]
TUnit[Property("Category", "...")][Property("Category", "positive")]
JUnit 5@Tag("...")@Tag("positive")
TestNG@Test(groups = {"..."})@Test(groups = {"positive"})
pytest@pytest.mark.<name>@pytest.mark.positive
RSpecmetadata after itit "...", :positive do
Pester-Tag '...'It '...' -Tag 'positive'
Kotest@Tags(...)@Tags(Positive)
Swift Testing@Tag(.<name>)@Test(.tags(.positive))
Catch2[tag] in nameTEST_CASE("...", "[positive]")
doctest* doctest::test_suite("...") decoratorTEST_CASE("..." *doctest::test_suite("positive"))

Record which tests already have tags to avoid duplication.

Show full SKILL.md (749 more words)Show less
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, None, Nil, Negative, raises_, _throws_, _returns_error suggest negative
  2. Assertion type -- Assert.ThrowsException / Assert.Throws / Should().Throw() / pytest.raises / expect(fn).toThrow / assertThrows / assert.Error(t, err) / expect { ... }.to raise_error / #[should_panic] / XCTAssertThrowsError / Should -Throw / EXPECT_THROW suggest negative
  3. Input values -- null / None / nil / undefined, "", 0, -1, int.MaxValue / sys.maxsize / Number.MAX_SAFE_INTEGER / math.MaxInt64 / i32::MAX, empty collections suggest boundary
  4. Setup complexity -- minimal setup with basic assertions suggests smoke; external dependencies (file/db/net/env) 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; pytest-benchmark fixtures; benchmark.js; JMH @Benchmark; go test -bench; criterion.rs; XCTMetric; Google Benchmark; kotlinx-benchmark 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 -- per-language concurrency primitives (see Trait Taxonomy table) 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 skip / ignore annotations with 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 (or report only)

If the loaded language extension declares auto-edit for the framework, add the appropriate attribute to each test method. Place trait attributes adjacent to the existing test attribute. Examples:

MSTest:

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

xUnit:

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

NUnit:

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

pytest:

python
@pytest.mark.negative
@pytest.mark.boundary
def test_parse_none_input_raises_value_error():
    ...

JUnit 5:

java
@Test
@Tag("positive")
@Tag("critical-path")
void createOrder_validItems_returnsConfirmation() { ... }

TestNG:

java
@Test(groups = {"negative", "boundary"})
public void parse_nullInput_throwsIllegalArgumentException() { ... }

RSpec:

ruby
it "rejects null input", :negative, :boundary do
  ...
end

Pester:

powershell
It 'Rejects null input' -Tag 'negative','boundary' {
    ...
}

Kotest:

kotlin
@Tags(Negative, Boundary)
class ParserSpec : StringSpec({
    "rejects null input" { ... }
})

Swift Testing:

swift
@Test(.tags(.negative, .boundary))
func parseNullInputThrows() throws { ... }

Catch2:

cpp
TEST_CASE("Parse null input throws", "[negative][boundary]") { ... }

If the loaded language extension declares report-only for the framework (Go standard testing, plain Jest/Vitest without convention, Rust without project-specific cfg, plain XCTest, plain GoogleTest, plain Mocha), do NOT modify source files. Instead emit a Markdown table mapping each test to its suggested tags, and recommend a project-wide convention the team can adopt (build tags, file suffix, describe-block prefix, GoogleTest filter prefix, test-plan grouping, etc.).

If the loaded language extension declares convention-based (e.g., Go //go:build integration, *_integration_test.go, GoogleTest INTEGRATION_* prefix), only emit canonical edits when the user has confirmed the project's convention. Otherwise treat as report-only.

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 classification (positive or negative at minimum) — in the report for report-only frameworks, or as an attribute for auto-edit frameworks
  • No invented trait values outside the taxonomy table
  • Existing trait attributes were preserved, not duplicated
  • The trait summary table was generated
  • For auto-edit frameworks, the project still builds / tests still discover after changes (dotnet build / pytest --collect-only / mvn test-compile / go vet ./... / cargo check --tests / npm run test:list / Invoke-Pester -PassThru -Skip / equivalent)
  • For report-only frameworks, no source files were modified
  • For convention-based frameworks, edits were applied ONLY when a project convention was confirmed

Common Pitfalls

PitfallSolution
Guessing traits without reading the test bodyAlways read assertions and setup to classify accurately
Tagging a test only as boundary without positive/negativeEvery test should also be positive or negative -- boundary is additive
Using the wrong attribute syntax for the detected frameworkMatch the attribute style to the loaded language extension (don't put [TestCategory] in an xUnit project or @pytest.mark.x in a unittest test)
Duplicating an existing category attributeCheck for pre-existing traits in Step 2 before adding
Over-tagging as critical-pathReserve for tests on primary public entry points, not every helper
Editing Go / plain Jest / plain Rust / plain XCTest / plain GoogleTest sourceThese are report-only by default — emit a Markdown table instead. Only edit if the user confirms a project-wide convention (build tag, file suffix, describe-prefix, test-plan grouping).
Inventing tag prefixes for convention-based frameworksConfirm the project's existing convention before adopting one — don't guess between _integration_test.go, //go:build integration, or IntegrationTest prefix
Missing language-specific concurrency / async primitivesEach language has its own primitives — read the loaded language extension and the Trait Taxonomy concurrency row before classifying as concurrency

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/test-tagging of microsoft/testfx.

Open the folder on GitHubat commit 44b9dcc

Compare with similar skills

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Categories

Questions about Test Tagging

What does Test Tagging do?

Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security). Test Tagging is an agent skill from microsoft/testfx, published by the product's own GitHub organization. Analyzes test suites in any language and tags each test with a standardized set of traits (positive, negative, critical-path, boundary, smoke, regression, integration, performance, security).

When should I use Test Tagging?

Test Tagging fits situations like: the user wants to categorize; label tests with traits; writing new tests; migrating frameworks.

How do I install Test Tagging in Claude Code?

Run `npx skills add microsoft/testfx --skill test-tagging -a claude-code`. Or copy the skill folder (.agents/skills/test-tagging in microsoft/testfx) into .claude/skills/test-tagging in your project. Claude Code loads it when a task matches its description.

How do I install Test Tagging in Codex?

Run `npx skills add microsoft/testfx --skill test-tagging -a codex`. Or copy the skill folder (.agents/skills/test-tagging in microsoft/testfx) into .agents/skills/test-tagging in your project. Codex loads it when a task matches its description.

Can I use Test Tagging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/testfx --skill test-tagging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-tagging, .gemini/skills/test-tagging, .github/skills/test-tagging and .opencode/skills/test-tagging in your project.

What does Test Tagging need to run?

Going by SKILL.md and its folder, Test Tagging needs the command-line tools its instructions call (go, dotnet, pytest, mvn, cargo and npm). Our summary lists: Python 3.

Does Test Tagging access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Test Tagging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Test Tagging use?

Test Tagging is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Tagging use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Test Tagging?

Skills that share tags, products or a category with Test Tagging: TDD Guide (alirezarezvani/claude-skills, 28k stars), TDD Guide (LeoYeAI/openclaw-master-skills, 2.2k stars), TDD Guide (borghei/Claude-Skills, 874 stars) and TDD Guide (aAAaqwq/AGI-Super-Team, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Tagging?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/testfx, which has 1,047 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 7, 2026.

Source: microsoft/testfx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.