ALWAYS USE whenever asked to write, add, or generate unit tests for existing code in xUnit, MSTest, NUnit, pytest, Vitest/Jest, Go, or another framework, including "tests only for" one helper, function, class, or missing regression case as well as project-wide suites. Also use for "cover this untested method", scaffolding tests where none exist, sparse workspaces, classic packages.config MSTest, and extending healthy suites. Focused requests use a proportional direct workflow; broad requests use the full pipeline. DO NOT USE for only running/diagnosing tests, coverage/audits, a test blocked on a missing production seam (testability-obstacle), or correcting supplied MSTest assertions, attributes, lifecycle, or configuration without designing new cases (writing-mstest-tests).
Permissions
Files
SKILL.md
code-testing-agent
ALWAYS USE whenever asked to write, add, or generate unit tests for existing code in xUnit, MSTest, NUnit, pytest, Vitest/Jest, Go, or another framework, including "tests only for" one helper, function, class, or missing regression case as well as project-wide suites. Also use for "cover this untested method", scaffolding tests where none exist, sparse workspaces, classic packages.config MSTest, and extending healthy suites. Focused requests use a proportional direct workflow; broad requests use the full pipeline. DO NOT USE for only running/diagnosing tests, coverage/audits, a test blocked on a missing production seam (testability-obstacle), or correcting supplied MSTest assertions, attributes, lifecycle, or configuration without designing new cases (writing-mstest-tests).
license
MIT
Code Testing Generation Skill
An AI-powered skill that generates comprehensive, workable unit tests for any programming language using a coordinated multi-agent pipeline.
Broad (a project/package-wide suite, or multiple production
files/modules): create research.md and plan.md in a resolved
non-stageable <TESTAGENT_DIR> before implementation, then status.md there
after the final test-quality review. When code-testing-generator is
available, invoke that named custom agent before implementing; do not replace
it with a generic subagent carrying the same label or implement the broad
request inline. If the state files are absent, the broad workflow is
incomplete.
Focused (the user explicitly limits work to one function/class/file or one
missing method): do not create intermediate state files or fan out to multiple
agents. A sparse project-wide request remains broad even when only one source
module is present.
For either scope, run the narrowest relevant test command to a clean exit.
Keep the handoff proportional: for one to three focused requirements, use a
compact bullet list under a Requirement coverage label that names the tests
and successful command; for broader or multi-requirement work, use a
Requirement | Evidence table. Each requested behavior must cite an exact test
name.
Intermediate state files are internal working data, never deliverables. Keep
<TESTAGENT_DIR> non-stageable, never place it or its files in
version-controlled workspace content, and never modify .gitignore to hide
them.
Treat completeness as a requirement matrix, not a test-count target. Give every
independently requested state, boundary, error path, or interaction its own
concrete assertion. Combine cases only when one execution genuinely proves the
whole requested combination; do not let a parameterized happy-path case stand in
for an empty state, invalid discriminator, or before/at/after boundary.
For broad requests that name several production modules or layers, give each
named module direct tests for its non-trivial public behavior. Cross-module tests
prove composition, but do not substitute for the requested module-level
coverage. Judge breadth by the behavior matrix, never by matching or exceeding a
raw test count.
For a broad or comprehensive request, the explicit matrix is the floor, not
the ceiling. Treat each requested module or layer as an inventory heading, not
one behavior: expand it into the bounded public operations and their distinct
validation paths, branches, boundaries, interactions, and state transitions.
After satisfying the explicit matrix, inspect each target API for observable
equivalence partitions and invariants that the prompt did not name: identity,
empty, singleton and representative interior inputs; exact boundaries plus an
immediately adjacent value; invalid partitions; and ordering, monotonicity,
rollover, capacity, truncation, or state invariants implied by the implementation.
Add one mutation-relevant case per distinct partition not already proved, using
parameterized or table-driven cases only for siblings that prove the same
behavior. A passing coverage threshold is validation, not a breadth stop
condition. Stop when remaining inputs exercise the same branch and invariant,
not merely when the explicit checklist is complete; never add cases only to
raise the count.
When to Use This Skill
Use this skill when you need to:
Generate unit tests for an entire project or specific files
Improve test coverage for existing codebases
Create test files that follow project conventions
Write tests that actually compile and pass
Add tests for new features or untested code
Generate or extend MSTest suites; load writing-mstest-tests as supporting
guidance after this entry skill has established scope and project conventions
When Not to Use
Running or executing existing tests (use the run-tests skill)
Migrating between test frameworks (use migration skills)
Answering an MSTest API/pattern or modernization question that does not ask to
generate tests (use writing-mstest-tests)
Debugging failing test logic
How It Works
This skill coordinates multiple specialized agents in a Research → Plan → Implement pipeline:
Make sure you understand what user is asking and for what scope.
When the user does not express strong requirements for test style, coverage goals, or conventions, source the guidelines from unit-test-generation.prompt.md. This prompt provides best practices for discovering conventions, parameterization strategies, behavior-focused coverage, and language-specific patterns.
Step 2: Size the request before invoking anything
Match the machinery to the scope. Running the full pipeline on a one-file
request costs turns and tool calls without improving the tests.
Scope
What it looks like
How to run it
Focused
One function, class, or file; "tests for X only"; extending an existing suite with the missing cases
Skip intermediate state files and the sub-agent fan-out. Keep the requirement checklist in your head (or in the final table), read only the target and one neighbouring test for conventions, write the tests, run the narrowest test command, review your own assertions inline.
Broad
A project, package, or module set; "comprehensive suite"; a coverage threshold to clear across several files
Run the full Research → Plan → Implement pipeline in Step 3, with intermediate state files under <TESTAGENT_DIR> and the completion contract below.
When in doubt, start focused and escalate only if the request turns out to span
several files. Escalating costs one extra pass; running the broad pipeline on a
focused request costs several.
Before ending a focused request, check all three conditions together:
every named behavior has a concrete assertion, including each requested
boundary or error path;
the narrow test command exited successfully;
the final handoff maps those behaviors to exact test names and cites that
successful command.
Do not replace requirement-level evidence with a generic list of covered areas.
Step 3: Invoke the Test Generator (broad scope)
Start by invoking the named code-testing-generator custom agent with your test
generation request. Do not use a generic/general-purpose subagent merely named
code-testing-generator:
Generate unit tests for [path or description of what to test], following the [unit-test-generation.prompt.md](unit-test-generation.prompt.md) guidelines. Treat the current workspace as authoritative even when it is sparse, gutted-looking, synthetic, or missing tracked files; never restore or reconstruct it, including with `git checkout`, `git restore`, `git reset`, or `git clean`.
The Test Generator will manage the entire pipeline automatically.
If code-testing-generator is unavailable, do not skip the workflow. Execute the
same Research → Plan → Implement sequence inline, resolve <TESTAGENT_DIR> as
described below, create the intermediate state files there, and apply the same
completion contract.
For broad scope, resolve one absolute <TESTAGENT_DIR> before creating
intermediate state files:
Prefer a host-provided session artifact or scratch directory.
Otherwise, in a Git worktree run
git rev-parse --path-format=absolute --git-path testagent; this returns a
path in worktree-specific Git metadata that cannot be staged.
Outside Git, create a unique directory under the operating system's
temporary directory.
Pass the absolute directory to every pipeline agent. The path may be inside the
repository's .git metadata directory, but it must not be version-controlled
workspace content, appear in git status, or be stageable.
Step 4: Execute with bounded context
For multi-file requests:
Turn every explicit user requirement into a checklist before implementation. Include requested layers, collaborators to mock, boundary cases, integrations, coverage thresholds, and report artifacts. Copy multi-condition requirements verbatim — they must each map to one test that exercises the whole combination.
Research only the requested module or project and write the checklist plus a compact target inventory to <TESTAGENT_DIR>/research.md.
Reuse manifests, symbol references, and deterministic pairing tools instead of reading every source and test file.
For multi-file scopes in C#, Python, TypeScript/JavaScript, Go, Java, Rust, Ruby, Kotlin, Swift, PowerShell, or C++, run find-untested-sources once and consume its pairing and suggested-path output; do not repeat that discovery manually.
Plan each target file once, then implement phases sequentially. Map every checklist item to at least one concrete test or explain why it is blocked.
Build and test the narrow target during fix cycles. Run workspace-level
validation once at the end only for broad work, when the repository contract
requires that entry point, or when the changes can affect other projects.
Before reporting success, re-open the generated tests and verify every checklist item against concrete test names and assertions. Coverage alone is not evidence that a requested mock seam, boundary, state transition, or property combination was tested.
Read a language example from code-testing-extensions only when the repository has no representative tests and the base extension is insufficient.
For .NET, classify SDK-style vs. classic non-SDK before choosing commands or creating files. In classic projects, preserve packages.config, existing framework/mock versions and custom base fixtures, add every new test file to the project's explicit <Compile Include> items, and use the repository's MSBuild/test-runner commands. Never modernize the project or dependency stack merely to generate tests.
For MSTest, inspect the pinned package version before choosing exception
assertions. MSTest 3.5.x uses Assert.ThrowsException<T>; do not substitute
[ExpectedException], Assert.Throws<T>, or Assert.ThrowsExactly<T>.
Completion contract
Every scope must satisfy points 3–5 below. Points 1 and 2 are the broad-scope
artifacts: on a focused request the same reasoning happens inline and no
intermediate state files are written.
Do not report completion until all of these are true:
(broad scope)<TESTAGENT_DIR>/research.md records the bounded target
inventory, existing test conventions, and the acceptance checklist.
(broad scope)<TESTAGENT_DIR>/plan.md maps each checklist item to a planned
test or an explicit blocker.
Generated tests compile and pass with the narrowest relevant test command.
Every explicit user requirement is backed by a concrete test and assertion.
Fix missing mock seams, boundary cases, state transitions, and property
combinations even when coverage already passes. In the final summary, cite
at least one generated test name for every checklist item so completion is
auditable; if an item has no test to cite, keep implementing or report it as
blocked. For non-behavioral requirements such as scaffolding, scope limits,
commands, or coverage artifacts, cite the relevant file, command, or report
instead of forcing a test-name mapping.
A passing suite with fewer tests is not automatically weaker: judge
completeness by whether every independently requested behavior has direct,
nonredundant evidence, not by raw test volume.
For broad/comprehensive scope, also verify that every observable equivalence
partition and invariant discovered in the bounded target APIs has one
mutation-relevant case, even when the prompt did not name it.
When the request names multiple modules, verify that each module's own
non-trivial public behavior has direct test evidence in addition to any
end-to-end composition test.
Review the generated tests for behavior gaps and weak assertions. On a broad
scope, invoke test-gap-analysis and assertion-quality when available and
record the findings and fixes in <TESTAGENT_DIR>/status.md. On a focused scope,
do the equivalent review inline — re-read each generated assertion against
the source — without spawning extra passes.
The final response must provide requirement-by-requirement evidence. Use compact
bullets under a Requirement coverage label for one to three focused
requirements; use a Requirement | Evidence table for broader scopes.
Behavioral evidence cites exact generated test names. Non-behavioral evidence
cites the relevant project file, validation command, or coverage report. A
generic list of tested areas is not a substitute.
Preserve the user's exact meaning in each evidence item; quote verbatim only
when wording distinguishes a required combination. A test that merely exercises
the same collaborators does not satisfy a requirement about their interaction,
and per-class requirements need a citation per class.
Cite a clean run, not an attempt. The commands behind the final evidence must
have finished successfully: quote the final passing test summary and, when
thresholds were requested, the per-module coverage table from a run that exited
0. If the last coverage run exited non-zero, fix it and re-run before reporting;
never infer threshold clearance from a failed or partial run.
Before reporting, inspect the final working-tree changes and confirm that
research.md, plan.md, status.md, and any other intermediate state files are
not among the changes intended for commit.
State Management
Broad-scope runs store intermediate state files in a non-stageable
<TESTAGENT_DIR> backed by host scratch storage, Git metadata, or OS temp. A
focused request does not create these files:
File
Purpose
<TESTAGENT_DIR>/research.md
Codebase analysis results
<TESTAGENT_DIR>/plan.md
Phased implementation plan
<TESTAGENT_DIR>/status.md
Final quality review and fixes
Agent Reference
Agent
Purpose
code-testing-generator
Coordinates pipeline
code-testing-researcher
Analyzes codebase
code-testing-planner
Creates test plan
code-testing-implementer
Writes test files
code-testing-builder
Compiles code
code-testing-tester
Runs tests
code-testing-fixer
Fixes errors
code-testing-linter
Formats code
Requirements
Project must have a build/test system configured
Testing framework should be installed (or installable)
VS Code with GitHub Copilot extension
Classic non-SDK .NET projects are supported when their existing build/test
toolchain is available. When it is not available on the current machine, the
agent can still add and register version-compatible tests, but must report
execution as blocked rather than substituting dotnet test.
Troubleshooting
Tests don't compile
The code-testing-fixer agent will attempt to resolve compilation errors. Check
<TESTAGENT_DIR>/plan.md for the expected test structure. Call the
code-testing-extensions skill and read the language-specific extension file
for error code references (e.g., dotnet.md for .NET).
Tests fail
Most failures in generated tests are caused by wrong expected values in assertions, not production code bugs:
Read the actual test output
Read the production code to understand correct behavior
Fix the assertion, not the production code
Never mark tests [Ignore] or [Skip] just to make them pass
Wrong testing framework detected
Specify your preferred framework in the initial request: "Generate Jest tests for..."
Environment-dependent tests fail
Tests that depend on external services, network endpoints, specific ports, or precise timing will fail in CI environments. Focus on unit tests with mocked dependencies instead.
Broader validation fails
During implementation, build and test the narrow target. Run a solution or
workspace-level command only for broad work, when the repository contract uses
that entry point, or when the targeted change can affect other projects. Do not
turn a focused test request into an unconditional full non-incremental build.
