Test Smell Detection
.NET (Microsoft)OfficialPublished by .NET (Microsoft)
- Skill
- Review and audit
- Software development
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Test Smell Detection provides a rigorous, research-backed auditing service for software test suites. It evaluates code against the formal 19-smell academic taxonomy, identifying issues like Mystery Guest, Eager Test, and Conditional Test Logic. Designed for developers seeking citable, severity-ranked assessments, the skill focuses on maintenance debt and reliability risks. It is framework-aware, supporting a wide range of languages including Python, Java, Go, Rust, and C++, and provides actionable, idiomatic fixes for every identified smell.
What it does
- Audits test suites using the formal testsmells.org 19-smell academic taxonomy.
- Assigns severity levels based on risk of flakiness, maintenance cost, and false confidence.
- Provides framework-specific, idiomatic code replacements for identified smells.
- Distinguishes between formal academic smells and general non-catalog validity defects.
- Calibrates findings based on language-specific testing idioms and integration markers.
- Generates structured reports with clear evidence, risk assessment, and remediation steps.
When to use it
- When you require a formal, citable, or academic-grade review of your test suite.
- When you need to identify and rank test smells by their impact on reliability and maintenance.
- When you want to improve test suite quality by replacing anti-patterns with framework-idiomatic code.
- When you need to distinguish between intentional integration patterns and actual test smells.
Advantages
- Uses a standardized, research-backed taxonomy for consistent and objective auditing.
- Reduces false positives by calibrating against framework-specific testing idioms.
- Provides actionable, language-specific fixes rather than generic advice.
- Prioritizes findings by actual risk to test suite integrity and maintenance.
- Maintains clear separation between academic smells and general code quality defects.
Usage examples
- “Audit my Python test suite for academic test smells and provide a severity-ranked report.”
- The agent scans the test files, identifies smells like Eager Test or Sleepy Test, ranks them by risk, and provides corrected code snippets using pytest idioms.
- “Can you check my Java tests for Mystery Guest or Conditional Test Logic issues?”
- The agent analyzes the test code, identifies explicit dependencies or branching logic, explains the risk, and suggests refactoring to improve test hermeticity.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/dotnet/test-smell-detection/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip test-smell-detection.zip -d .agents/skills
Documentation by .NET (Microsoft)
Test Smell Detection
Audit test code with the academic taxonomy, code evidence, calibrated framework idioms, and fixes native to the codebase.
Scope
Audit only staged or named tests. Search the current workspace before asking for code; never claim a file is missing until that search finds no relevant test.
Read production code only when it changes a verdict.
For unfamiliar framework APIs, read the matching language file relative to the caller-provided or runtime-listed
test-analysis-extensionscatalog, not a skill invocation. If absent, use the framework and rules here and report the missing reference; do not search installation directories.Read the complete catalog when the caller requests all 19 smells, asks for citations, or the code may contain a smell outside the high-signal set below. Do not load it for a narrow question that this file answers.
Audit Workflow
Search for and read the staged tests; detect language, framework, boundaries, and integration markers. This is the first action even when no path is named.
Read the tests and only verdict-changing production context.
For each candidate, verify the executed check, choose the formal category, calibrate, then assign severity. Report proven non-catalog test-validity defects separately; do not relabel them as smells.
Rank confirmed findings by risk of false confidence or flakiness, then by maintenance cost.
Give a framework-correct replacement for each actionable finding. Never use .NET terminology or APIs in another ecosystem.
High-Signal Decisions
| Evidence | Academic finding | Do | Never |
|---|---|---|---|
Assertion behavior changes behind if, switch, or branching loops | Conditional Test Logic | Split cases or parameterize them | Flag table-driven or parametrized tests merely because a runner loop exists |
| A test relies on an undeclared file, network service, environment value, or database | Mystery Guest or Resource Optimism | Make the dependency explicit and hermetic; distinguish the two using the full catalog | Condemn an integration test merely for exercising its declared real resource |
| Fixed wall-clock sleep waits for an outcome | Sleepy Test | Await or poll the condition with a timeout | Downgrade it only because the test is an integration test |
| Executable test has no assertion, expected-exception marker, or mock verification | Unknown Test | Assert the observable outcome | Call an empty body Unknown Test; the formal name is Empty Test |
| Async assertion/coroutine is created but not awaited or returned | Critical non-catalog false-pass defect | Report it separately and show the required await/return | Force it into Unknown Test; the assertion statement exists |
| One test exercises many unrelated production behaviors | Eager Test | Separate behavior-focused tests | Flag a deliberate end-to-end workflow without considering its scope |
| Expected numeric literal has no local meaning | Magic Number Test | Name the domain value or derive it from setup | Flag count == 3 immediately after adding three items |
Assertion depends on ToString, repr, description, or display formatting that is not the contract | Sensitive Equality | Assert stable fields or use a structural matcher | Flag a test whose explicit contract is the formatted string |
| Test manually manages expected exception flow | Exception Handling | Use the framework's exception assertion and check meaningful details | Claim a capture-and-assert test verifies nothing |
| Shared setup creates state irrelevant to the tests that receive it | General Fixture | Remove unused state or narrow the fixture; rank cheap state low | Condemn relevant shared setup merely because it is shared |
| Test is disabled or skipped | Ignored Test | Report every skip, but rank a tracked, reasoned skip below an unexplained one | Clear a skip because its reason is good, or give both the same urgency |
Calibration Rules
Apply these before assigning a finding:
Mock-call verifications, snapshots, bare pytest
assert, PesterShould -Invoke, and expected-exception constructs are assertions.A literal or snapshot assertion may expose a coverage gap, but is not Unknown Test or another smell without separate evidence.
Count assertion statements. One assertion is never Assertion Roulette; missing messages alone are not a smell.
Same-method tests are not Lazy Test when they cover distinct behaviors, boundaries, or state; require redundant equivalent paths.
General Fixture requires shared lifecycle state. Repeated local construction is neither General Fixture nor Test Code Duplication by itself.
Treat strings returned by the public API as observable contract unless production context or requirements make them display-only; interpolation alone is not Sensitive Equality.
Magic Number Test requires an unexplained oracle value. Do not flag ordinary setup quantities whose role is locally obvious and irrelevant to the asserted behavior.
Go table-driven subtests, pytest/JUnit/xUnit parameterization, Jest/Vitest
.each, RSpec data tables, Pester-ForEach, and Catch2SECTION/GENERATEare not Conditional Test Logic by themselves.Go's
if err != nil { t.Fatal(...) }is idiomatic assertion flow, not Exception Handling.Integration markers legitimize declared external resources and multi-step flows, but not fixed sleeps or assertion-free execution.
For integration tests, trace helper factories and repository return types before judging branch coverage. If a test branches on a subtype or state that the real helper can never produce, report the unreachable assertion path and explain the resulting false confidence. Do not stop at assigning the generic Conditional Test Logic label.
A local temporary file still meets the formal Mystery Guest definition. Hermetic creation and cleanup reduce its severity; they do not change its taxonomy.
A formatting name does not prove display text is the stable contract; confirm it from production behavior or requirements before clearing Sensitive Equality.
Do not infer a smell from method names alone. Point to the statement or fixture relationship that proves it.
Do not infer a high-severity non-catalog validity defect from a test name alone. Without production code or an explicit contract proving that the test is supposed to invoke another component, a name/body mismatch is at most an unranked observation, not evidence that the test silently passes broken production behavior.
Catch2
SECTIONandGENERATEare runner-controlled case expansion, andREQUIREis a real assertion. When those are the only suspicious constructs, the academic-smell verdict is clean. Do not reverse that verdict because the test could have broader behavioral coverage.If no material smell remains after calibration, say that clearly. Never manufacture findings to fill a report.
Never propose
awaitfor a void or otherwise non-awaitable API. If production work is synchronous, remove the sleep and assert immediately.
Severity
Severity follows demonstrated risk, not a fixed label copied from the catalog:
High: can silently pass while behavior is broken, creates nondeterministic failures, or hides unexecuted assertion paths.
Medium: makes failures ambiguous or couples tests to unstable details.
Low: primarily maintenance debt, such as a reasoned skip or over-broad cheap fixture.
State the reason for the assigned severity. Downgrade or omit a finding when the surrounding test type makes the pattern intentional.
Output Contract
Scale the response to the input:
For one to three files, give a verdict and one compact table: severity, formal smell, evidence, risk, and fix.
For larger suites, add counts and a short priority order. Do not repeat findings across dashboards, prose, and plans.
Show code only when it clarifies a fix; omit unchanged setup.
Add brief Not findings only for plausibly suspicious idioms.
Put proven non-catalog validity defects after the academic-smell verdict. On a clean input with no production contract, do not assign severity to optional coverage observations or let them overturn the clean verdict.
Do not narrate discovery or catalog loading; return the audit directly.
Every reported smell must have a formal taxonomy name, precise location, evidence from the code, practical risk, and a concrete framework-correct fix.
Validation
Every finding is supported by code, not a keyword or method name.
Unknown Test and Empty Test remain distinct.
Every disabled test remains Ignored Test, and every local file dependency remains Mystery Guest; rationale and hermetic cleanup change severity only.
Framework idioms and integration boundaries were calibrated before reporting.
Clean tests and suspicious-but-valid idioms are not turned into filler.
Clean framework idioms are not converted into high-severity non-catalog findings from naming or absent production context.
Fixes use the target framework's APIs and preserve the behavior under test.
Claims about files reviewed, builds, or test runs match actions actually performed.
Files
- ATTRIBUTION.mdAdded by AutoGineer851 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md9.9 KiB
- references/test-smell-catalog.md6.3 KiB
SKILL.md
Test Smell Detection
Audit test code with the academic taxonomy, code evidence, calibrated framework idioms, and fixes native to the codebase.
Scope
Audit only staged or named tests. Search the current workspace before asking for code; never claim a file is missing until that search finds no relevant test.
Read production code only when it changes a verdict.
For unfamiliar framework APIs, read the matching language file relative to the caller-provided or runtime-listed
test-analysis-extensionscatalog, not a skill invocation. If absent, use the framework and rules here and report the missing reference; do not search installation directories.Read the complete catalog when the caller requests all 19 smells, asks for citations, or the code may contain a smell outside the high-signal set below. Do not load it for a narrow question that this file answers.
Audit Workflow
Search for and read the staged tests; detect language, framework, boundaries, and integration markers. This is the first action even when no path is named.
Read the tests and only verdict-changing production context.
For each candidate, verify the executed check, choose the formal category, calibrate, then assign severity. Report proven non-catalog test-validity defects separately; do not relabel them as smells.
Rank confirmed findings by risk of false confidence or flakiness, then by maintenance cost.
Give a framework-correct replacement for each actionable finding. Never use .NET terminology or APIs in another ecosystem.
High-Signal Decisions
| Evidence | Academic finding | Do | Never |
|---|---|---|---|
Assertion behavior changes behind if, switch, or branching loops | Conditional Test Logic | Split cases or parameterize them | Flag table-driven or parametrized tests merely because a runner loop exists |
| A test relies on an undeclared file, network service, environment value, or database | Mystery Guest or Resource Optimism | Make the dependency explicit and hermetic; distinguish the two using the full catalog | Condemn an integration test merely for exercising its declared real resource |
| Fixed wall-clock sleep waits for an outcome | Sleepy Test | Await or poll the condition with a timeout | Downgrade it only because the test is an integration test |
| Executable test has no assertion, expected-exception marker, or mock verification | Unknown Test | Assert the observable outcome | Call an empty body Unknown Test; the formal name is Empty Test |
| Async assertion/coroutine is created but not awaited or returned | Critical non-catalog false-pass defect | Report it separately and show the required await/return | Force it into Unknown Test; the assertion statement exists |
| One test exercises many unrelated production behaviors | Eager Test | Separate behavior-focused tests | Flag a deliberate end-to-end workflow without considering its scope |
| Expected numeric literal has no local meaning | Magic Number Test | Name the domain value or derive it from setup | Flag count == 3 immediately after adding three items |
Assertion depends on ToString, repr, description, or display formatting that is not the contract | Sensitive Equality | Assert stable fields or use a structural matcher | Flag a test whose explicit contract is the formatted string |
| Test manually manages expected exception flow | Exception Handling | Use the framework's exception assertion and check meaningful details | Claim a capture-and-assert test verifies nothing |
| Shared setup creates state irrelevant to the tests that receive it | General Fixture | Remove unused state or narrow the fixture; rank cheap state low | Condemn relevant shared setup merely because it is shared |
| Test is disabled or skipped | Ignored Test | Report every skip, but rank a tracked, reasoned skip below an unexplained one | Clear a skip because its reason is good, or give both the same urgency |
Calibration Rules
Apply these before assigning a finding:
Mock-call verifications, snapshots, bare pytest
assert, PesterShould -Invoke, and expected-exception constructs are assertions.A literal or snapshot assertion may expose a coverage gap, but is not Unknown Test or another smell without separate evidence.
Count assertion statements. One assertion is never Assertion Roulette; missing messages alone are not a smell.
Same-method tests are not Lazy Test when they cover distinct behaviors, boundaries, or state; require redundant equivalent paths.
General Fixture requires shared lifecycle state. Repeated local construction is neither General Fixture nor Test Code Duplication by itself.
Treat strings returned by the public API as observable contract unless production context or requirements make them display-only; interpolation alone is not Sensitive Equality.
Magic Number Test requires an unexplained oracle value. Do not flag ordinary setup quantities whose role is locally obvious and irrelevant to the asserted behavior.
Go table-driven subtests, pytest/JUnit/xUnit parameterization, Jest/Vitest
.each, RSpec data tables, Pester-ForEach, and Catch2SECTION/GENERATEare not Conditional Test Logic by themselves.Go's
if err != nil { t.Fatal(...) }is idiomatic assertion flow, not Exception Handling.Integration markers legitimize declared external resources and multi-step flows, but not fixed sleeps or assertion-free execution.
For integration tests, trace helper factories and repository return types before judging branch coverage. If a test branches on a subtype or state that the real helper can never produce, report the unreachable assertion path and explain the resulting false confidence. Do not stop at assigning the generic Conditional Test Logic label.
A local temporary file still meets the formal Mystery Guest definition. Hermetic creation and cleanup reduce its severity; they do not change its taxonomy.
A formatting name does not prove display text is the stable contract; confirm it from production behavior or requirements before clearing Sensitive Equality.
Do not infer a smell from method names alone. Point to the statement or fixture relationship that proves it.
Do not infer a high-severity non-catalog validity defect from a test name alone. Without production code or an explicit contract proving that the test is supposed to invoke another component, a name/body mismatch is at most an unranked observation, not evidence that the test silently passes broken production behavior.
Catch2
SECTIONandGENERATEare runner-controlled case expansion, andREQUIREis a real assertion. When those are the only suspicious constructs, the academic-smell verdict is clean. Do not reverse that verdict because the test could have broader behavioral coverage.If no material smell remains after calibration, say that clearly. Never manufacture findings to fill a report.
Never propose
awaitfor a void or otherwise non-awaitable API. If production work is synchronous, remove the sleep and assert immediately.
Severity
Severity follows demonstrated risk, not a fixed label copied from the catalog:
High: can silently pass while behavior is broken, creates nondeterministic failures, or hides unexecuted assertion paths.
Medium: makes failures ambiguous or couples tests to unstable details.
Low: primarily maintenance debt, such as a reasoned skip or over-broad cheap fixture.
State the reason for the assigned severity. Downgrade or omit a finding when the surrounding test type makes the pattern intentional.
Output Contract
Scale the response to the input:
For one to three files, give a verdict and one compact table: severity, formal smell, evidence, risk, and fix.
For larger suites, add counts and a short priority order. Do not repeat findings across dashboards, prose, and plans.
Show code only when it clarifies a fix; omit unchanged setup.
Add brief Not findings only for plausibly suspicious idioms.
Put proven non-catalog validity defects after the academic-smell verdict. On a clean input with no production contract, do not assign severity to optional coverage observations or let them overturn the clean verdict.
Do not narrate discovery or catalog loading; return the audit directly.
Every reported smell must have a formal taxonomy name, precise location, evidence from the code, practical risk, and a concrete framework-correct fix.
Validation
Every finding is supported by code, not a keyword or method name.
Unknown Test and Empty Test remain distinct.
Every disabled test remains Ignored Test, and every local file dependency remains Mystery Guest; rationale and hermetic cleanup change severity only.
Framework idioms and integration boundaries were calibrated before reporting.
Clean tests and suspicious-but-valid idioms are not turned into filler.
Clean framework idioms are not converted into high-severity non-catalog findings from naming or absent production context.
Fixes use the target framework's APIs and preserve the behavior under test.
Claims about files reviewed, builds, or test runs match actions actually performed.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- .NET (Microsoft)
- Publisher
- .NET (Microsoft) (Official)
- Source
- dotnet/skills · plugins/dotnet-test/skills/test-smell-detection · commit 96c3d68
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by .NET (Microsoft) or .NET (Microsoft).
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download test-smell-detection.zip