Agent Skills

code-testing-agent

testingdotnet2.8K installs

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

Install

npx skills add https://github.com/dotnet/skills --skill code-testing-agent
SKILL.md

Code Testing Generation Skill

An AI-powered skill that generates comprehensive, workable unit tests for any programming language using a coordinated multi-agent pipeline.

Non-negotiable execution contract

Classify scope before editing:

  • 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:

Pipeline Overview

┌─────────────────────────────────────────────────────────────┐
│                     TEST GENERATOR                          │
│  Coordinates the full pipeline and manages state            │
└─────────────────────┬───────────────────────────────────────┘
                      │
        ┌─────────────┼─────────────┐
        ▼             ▼             ▼
┌───────────┐  ┌───────────┐  ┌───────────────┐
│ RESEARCHER│  │  PLANNER  │  │  IMPLEMENTER  │
│           │  │           │  │               │
│ Analyzes  │  │ Creates   │  │ Writes tests  │
│ codebase  │→ │ phased    │→ │ per phase     │
│           │  │ plan      │  │               │
└───────────┘  └───────────┘  └───────┬───────┘
                                      │
                    ┌─────────┬───────┼───────────┐
                    ▼         ▼       ▼           ▼
              ┌─────────┐ ┌───────┐ ┌───────┐ ┌───────┐
              │ BUILDER │ │TESTER │ │ FIXER │ │LINTER │
              │         │ │       │ │       │ │       │
              │ Compiles│ │ Runs  │ │ Fixes │ │Formats│
              │ code    │ │ tests │ │ errors│ │ code  │
              └─────────┘ └───────┘ └───────┘ └───────┘

Step-by-Step Instructions

Step 1: Determine the user request

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:

  1. every named behavior has a concrete assertion, including each requested boundary or error path;
  2. the narrow test command exited successfully;
  3. 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:

  1. Prefer a host-provided session artifact or scratch directory.
  2. 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.
  3. 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:

  1. 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.
  2. Research only the requested module or project and write the checklist plus a compact target inventory to <TESTAGENT_DIR>/research.md.
  3. Reuse manifests, symbol references, and deterministic pairing tools instead of reading every source and test file.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Read a language example from code-testing-extensions only when the repository has no representative tests and the base extension is insufficient.
  9. 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.
  10. 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:

  1. (broad scope) <TESTAGENT_DIR>/research.md records the bounded target inventory, existing test conventions, and the acceptance checklist.
  2. (broad scope) <TESTAGENT_DIR>/plan.md maps each checklist item to a planned test or an explicit blocker.
  3. Generated tests compile and pass with the narrowest relevant test command.
  4. 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.
  5. 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:

  1. Read the actual test output
  2. Read the production code to understand correct behavior
  3. Fix the assertion, not the production code
  4. 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.

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