--- name: grade-tests description: > Assess a curated list of tests and produce a PR-ready table with a primary Pass, Failed, Uncertain, or Not applicable result plus A-F quality detail for every resolved test; Uncertain and Not applicable omit the grade. USE FOR new or modified tests supplied as methods, bodies, file spans, or a bounded PR diff. Polyglot: .NET, Python, TS/JS, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, C++. DO NOT USE FOR: suite-wide audits (use test-quality-auditor or test-anti-patterns), writing or fixing tests, or measuring coverage. license: MIT --- # Grade Tests Assess a curated list of test methods and produce a compact, PR-comment-friendly report. The primary result is one of **Pass**, **Failed**, **Uncertain**, or **Not applicable**; an A-F quality grade remains secondary diagnostic information. The skill **does not discover tests on its own** — the caller (typically a PR automation workflow or a human reviewer holding a specific list) provides the tests or a bounded diff to assess. > **Language-specific guidance**: Call the `test-analysis-extensions` skill > to discover available extension files, then read the file matching the > target codebase's language and framework (e.g., `extensions/dotnet.md`, > `extensions/python.md`, `extensions/typescript.md`, `extensions/go.md`). > You MUST read the relevant extension file before scoring assertions or > anti-patterns, because assertion APIs and idiomatic patterns differ > significantly across frameworks. ## Why a Decision Result Plus Quality Detail PR reviewers need a simple answer to *does this test need follow-up?* The four-state result provides that decision; the existing A-F rubric explains its quality and severity. ## When to Use - A PR automation workflow needs to post a decision on the tests introduced or modified in a pull request. - A reviewer has a specific list of tests (a file, a class, a method list, or a diff hunk) and wants per-test follow-up decisions rather than a suite report. - A maintainer wants to triage which of N tests in a contribution deserve follow-up improvements, with quality grades for resolved tests. ## When Not to Use - The caller wants a full suite audit or comparative metrics — use `test-anti-patterns` (pragmatic) or `test-smell-detection` (formal) and let the `test-quality-auditor` agent orchestrate. - The caller wants to *write* new tests — use `code-testing-generator` (any language) or `writing-mstest-tests` (MSTest specifically). - The caller wants to measure code coverage or CRAP scores — use `coverage-analysis` or `crap-score` (.NET only). - The caller wants to fix issues directly in test code — invoke the appropriate editing skill. - No specific list of tests is provided. Do **not** try to grade every test in the workspace; ask the caller for an explicit list or scope. ## Inputs | Input | Required | Description | |-------|----------|-------------| | Test methods | Yes | A scope to grade. Provide one of: (a) an explicit list of test method names (fully-qualified, e.g. `Namespace.ClassName.TestMethodName`); (b) one or more file paths plus an explicit instruction to grade every test declared in those files; or (c) a diff hunk / PR identifier whose changed tests should be graded. File paths are recommended but optional when method names are unambiguous in the workspace. Ambiguous requests like *"grade my tests"* with no scope are rejected up-front (see Step 0); this skill is for curated input and does not auto-grade an entire workspace. | | Test bodies / spans | Recommended | The exact source lines for each test method. If omitted, read them from the listed files. | | Production code | No | The code under test, for judging whether assertions cover the meaningful behaviors. When unavailable, mark relevant findings as "Unverified" rather than guessing. | | Diff context | No | When grading PR changes, the unified diff for each test method helps focus on what actually changed. | ### Step 0: Validate the input Before doing anything else, check that the caller provided one of: 1. An explicit list of test method names, **or** 2. One or more file paths plus an explicit instruction to grade every test declared in those files (e.g., "grade every test in `OrderTests.cs`"), **or** 3. A diff hunk or PR identifier whose changed tests should be graded. If the request is ambiguous (e.g., *"Grade my tests"*, *"Are these tests any good?"* with no scope, *"Review the test suite"*), **do not load extensions, do not read files, and do not grade anything**. Reply with a short message asking the caller to provide an explicit list / file(s) / diff, and optionally point them at `test-quality-auditor` agent or `test-anti-patterns` skill for full-suite analysis. Stop there. If a valid bounded scope resolves to zero eligible tests, return **Not applicable** with a short explanation and no invented rows. ## Workflow ### Step 1: Detect language and load extension Identify the target codebase's language and test framework from the file extensions and the test method markers in the provided list. Call the `test-analysis-extensions` skill and read the matching extension file (e.g., `extensions/dotnet.md` for MSTest/xUnit/NUnit/TUnit, `extensions/python.md` for pytest, `extensions/typescript.md` for Jest/Vitest, `extensions/go.md` for the standard `testing` package). If the input contains tests from multiple languages, load each relevant extension and grade each test using its language's conventions. ### Step 2: Resolve the test bodies For each entry in the input list: 1. If the test body is provided inline, use it directly. 2. Otherwise read the file at the given path and locate the method by its fully-qualified name. Capture the full method body, including attributes / decorators / fixtures and any helper code that the test calls. 3. If a requested method cannot be found, record it as `Uncertain — method not found` with no quality grade and continue. Never invent a body to grade. A missing requested method requires human review; it is not the same as a valid scope containing no tests. ### Step 3: Score each resolved test Start every test at grade **A (score band 90–100)**, then apply deductions strictly for **observable issues** in the captured body. Do **not** deduct for hypothetical concerns (e.g., "could have more negative assertions") unless the production code clearly demands them and the production code is available. When production code is unavailable, grade observable issues in the test body normally, but do not infer missing behaviors or deduct for them. State `Production-dependent behavior coverage: Unverified` once in the summary so the reader can distinguish test-body findings from claims that require source code. #### Three sub-dimensions Compute three sub-grades (each A–F) that together drive the overall grade. ##### A. Assertion strength Read the loaded language extension's assertion API list and classify every assertion in the test body. Score from highest to lowest: | Sub-grade | Pattern | |-----------|---------| | **A** | At least one meaningful value assertion (equality / structural / exception / state) plus, where appropriate, additional checks (negative, type, collection contents). Mock-call verifications (`Verify`, `toHaveBeenCalledWith`, `Should -Invoke`) and bare assertion forms (pytest `assert`, Go `if got != want { t.Errorf(...) }`, Rust `assert!()`) count as real assertions. | | **B** | One clear meaningful assertion that verifies the behavior under test. | | **C** | Only trivial assertions (single `IsNotNull` / `toBeDefined` / `assert x is not None`), or assertions that check a single field while the operation produces a richer result. | | **D** | One self-referential / tautological assertion (`Assert.AreEqual(x, x)`, `assert dto.name == dto.name`, round-trip identity without a non-trivial input), or broad exception assertions (`Assert.ThrowsException`). | | **F** | No assertions at all; **all** assertions are always-true literals (`Assert.IsTrue(true)`, `assert True`, `expect(true).toBe(true)`) — these verify nothing and are equivalent to having no assertions; or all assertions are silently un-awaited (e.g., `expect(promise).resolves.toBe(x)` without `await`/`return`, async TUnit/xUnit `Assert.ThrowsAsync` without `await`, pytest-asyncio with un-awaited coroutine). | Exception and error-path tests (`Assert.ThrowsException`, constrained `pytest.raises`, `expect(fn).toThrow`, `assertThrows`, `#[should_panic]`, `Should -Throw`, `EXPECT_THROW`, or Go code that verifies an expected non-nil error) are complete on their own. Give Assertion strength **A** when the test checks the exact promised error condition for its stated scope. Do not deduct for having only that assertion, and do not require an error-message assertion unless the message is part of the documented contract. A Go happy-path test that only checks `err == nil` while discarding a meaningful returned value is still **C** because it does not verify the successful result. ##### B. Structure & focus | Sub-grade | Pattern | |-----------|---------| | **A** | Clear Arrange-Act-Assert (or Given-When-Then) separation. Single behavior under test. Body under ~30 lines. Setup uses framework conventions. | | **B** | One mild structural issue (slightly long body, missing blank lines between phases) but intent is clear. | | **C** | Multiple behaviors mixed in one test, or AAA phases interleaved enough to slow comprehension. | | **D** | Conditional logic in the test (`if`/`switch` driving assertions) — except for idiomatic Go/Rust table-driven sub-test loops; or test relies on previous test state (ordering dependency). | | **F** | Test exceeds ~60 lines and verifies multiple unrelated behaviors; or shares mutable state with other tests through statics/globals without reset. | ##### C. Anti-pattern hygiene Scan against the catalog below. The Anti-pattern sub-grade is computed in two passes and combined deterministically: 1. **Hard ceiling pass.** Every **Critical** or **High** finding sets a maximum sub-grade (F, D, or C as labeled). Take the **worst** ceiling across all matched Critical/High findings — these do not accumulate (a single F finding caps the sub-grade at F regardless of how many other Critical/High findings are present). 2. **Medium-deduction pass.** Start from **A**, then for each **Medium** finding deduct one sub-grade level (A→B, B→C, C→D, D→F). These do accumulate across findings. The final Anti-pattern sub-grade is the **worse** of the two passes (i.e., `min(hard_ceiling, A − medium_count)`). **Low** findings never affect the grade — mention them in the note only. Examples (Critical/High and Medium counts → Anti-pattern sub-grade): - Zero Critical/High, 1 Medium → **B** (A − 1) - Zero Critical/High, 3 Medium → **D** (A − 3) - One C-ceiling (e.g., over-mocking), 0 Medium → **C** - One C-ceiling, 2 Medium → **C** (`min(C, A − 2 = C) = C`; a third Medium tips to **D**) - One F-finding (e.g., swallowed exception) plus any number of Medium → **F** **Critical (drop straight to F or D)** - No assertions at all → F (also drives Assertion sub-grade to F) - Swallowed exceptions: `try { … } catch { }` (.NET), bare `except: pass` (Python), `try { … } catch (e) {}` (JS/TS/Java), `defer recover()` without re-panic (Go), `rescue StandardError` with no assertion (Ruby), empty `catch` (Kotlin/Swift) → F - Assert-in-catch pattern (`Assert.Fail(ex.Message)` instead of `Assert.ThrowsException`) → D - Always-true literal assertions (`Assert.IsTrue(true)`, `assert True`, `expect(true).toBe(true)`) → **F** (verifies nothing; also drives Assertion sub-grade to F) - Self-referential / tautological assertions on bound values (`Assert.AreEqual(x, x)`, `assert dto.name == dto.name`) → D - Commented-out assertions → D **High (drop one or two sub-grades)** - Wall-clock sleep used for synchronization: `Thread.Sleep`, `Task.Delay`, `time.sleep`, `setTimeout`-based wait, `Thread.sleep`, `time.Sleep`, `sleep`, `std::thread::sleep`, `Start-Sleep`, `std::this_thread::sleep_for` (in a unit test) → D - Unseeded randomness, wall-clock reads without abstraction (`DateTime.Now`, `datetime.now()`, `Date.now()`, `System.currentTimeMillis()`, `time.Now()`, `Time.now`, `Instant::now()`, `Get-Date`, `system_clock::now`) → D - Hard-coded environment-dependent paths (`C:\…`, `/tmp/…`, network hosts) → D - Ordering dependency on mutable static / package globals → D - Broad exception assertion (`Assert.ThrowsException`, `pytest.raises(Exception)`, `expect(fn).toThrow(Error)` without matcher, `#[should_panic]` without `expected = "…"`, `Should -Throw` without `-ExpectedMessage`, `EXPECT_ANY_THROW`) → C - Over-mocking: more mock setup lines than test logic, or verifying exact call sequences instead of outcomes → C - Implementation coupling: reflection on private members, casting to internal types to access state → C **Medium (drop one sub-grade)** - Poor name: `Test1`, `TestMethod`, `test`, single-word name that says nothing about scenario or expected outcome (judge against the language extension's convention) → drop one sub-grade - Magic values: unexplained `42`, `"foo"`, `0x1234` in arrange/assert without naming or comment → drop one sub-grade - Giant test (>30 lines covering a single behavior) → drop one sub-grade - Assertion messages that just repeat the assertion text → drop one sub-grade - Missing AAA / GWT separation when the test is non-trivial → drop one sub-grade **Low (note only, no deduction)** - Unused setup/teardown hooks; print debugging left in (`Console.WriteLine`, `print`, `console.log`, `System.out.println`, `fmt.Println`, `puts`, `dbg!`, `Write-Host`, `std::cout`); inconsistent naming versus siblings; leftover TODO comments. Mention in the note column but do not deduct. #### Combining sub-grades Convert sub-grades to numeric points: A=4, B=3, C=2, D=1, F=0. - **Overall score band** = weighted average: `0.45 × Assertion + 0.30 × Anti-pattern + 0.25 × Structure` - Map to letter: - ≥ 3.5 → **A** (band 90–100) - ≥ 2.8 → **B** (band 80–89) - ≥ 2.0 → **C** (band 70–79) - ≥ 1.2 → **D** (band 60–69) - < 1.2 → **F** (band 0–59) - The overall grade is **capped at the worst sub-grade** — if any sub-grade is **F**, the overall grade is **F**; if the worst sub-grade is **D**, the overall grade is at most **D**; and so on. A test that fails on any one dimension cannot earn a higher overall grade than that dimension. Report the **letter grade** and the **score band** (not a single 0–100 number). False precision invites bikeshedding; bands keep the conversation focused on the rubric. ### Step 4: Assign the decision result The grade summarizes strength; the result says whether follow-up exists. An actionable improvement is an evidence-backed change to the test, setup, or fixtures. Assign exactly one: - **Pass** — no actionable improvement; positive/context-only notes are allowed. - **Failed** — at least one actionable improvement, regardless of grade. - **Uncertain** — missing evidence prevents a decision and needs human review. - **Not applicable** — a valid scope contains no eligible tests; normally an overall result with no rows. Do not derive status from grade: a complete focused test can be **B / Pass**, while debug output can make an otherwise excellent test **A / Failed**. Use Uncertain for an unresolved body, unsupported construct, or essential missing contract—not merely absent production code. A definite finding wins over uncertainty. ### Step 5: Build the note Use one sentence (target ≤ 120 characters) for the most important reason: `No issues found.`, `Only checks IsNotNull; add value verification.`, or `Method body could not be resolved; human review is required.` Do not invent a weakness to justify a grade or Failed result. ### Step 6: Report Produce two sections. #### 1. Summary Begin with `**Result: **`, then give result counts and the highest-priority action. Aggregate using **Failed → Uncertain → Pass → Not applicable**. For Not applicable, explain the empty scope and omit the table. #### 2. Per-test table ```markdown | Test | Result | Quality | Notes | |------|--------|---------|-------| | `Namespace.ClassName.Test_Method_Condition_Expected` | Pass | A (90–100) | No issues found. | | `Namespace.ClassName.Test_Other` | Failed | C (70–79) | Only `IsNotNull`; add value verification. | | `Namespace.ClassName.Test_Missing` | Uncertain | — | Method body could not be resolved; human review is required. | ``` **Caps and ordering**: - If the table would exceed **50 rows**, show Failed tests first, then Uncertain tests, then a sample of Pass tests. Wrap overflow in a collapsed `
` block. - Within the same result, order by quality from worst to best, then by file path and method name for determinism. - If the diff context is provided, prefix each test name with a `(new)` or `(modified)` marker. If multiple languages are present, produce one table per language and prefix each section with the language name and framework. ## Validation - [ ] Every test in the input list appears in the table (or is recorded as `Uncertain — method not found`). - [ ] Every resolved test has Pass or Failed plus A-F quality detail. - [ ] Uncertain is an evidence gap; Not applicable is a valid empty scope. - [ ] Every grade is justified by at least one observable signal in the captured body — no speculative deductions. - [ ] Trivial-assertion tests are flagged only when the **only** assertion is trivial (a null check before a meaningful assertion is not trivial). - [ ] Exception-only tests are not penalized for low assertion count. - [ ] Mock-call verifications and bare assertion forms count as real assertions of the appropriate category. - [ ] Boolean assertions on meaningful properties (`Assert.IsTrue(result.IsValid)`) are not classified as always-true; only literal `true`/`false` constants are. - [ ] Self-referential assertions are flagged separately from normal equality assertions. - [ ] Idiomatic patterns are not flagged: Go/Rust table-driven sub-tests, pytest bare `assert`, Go `if got != want { t.Errorf(...) }`, JS/TS `expect(mock).toHaveBeenCalledWith(...)`. - [ ] Async test pitfalls (un-awaited `resolves`/`rejects`/`ThrowsAsync`, pytest-asyncio without `await`) drop the Assertion sub-grade to F. - [ ] The summary leads with the highest-leverage observation, not a recap of the table. ## Common Pitfalls | Pitfall | Solution | |---------|----------| | Grading every test in the workspace when no list is provided | Ask the caller for the explicit list; this skill is for curated input. | | Inflating deductions to justify the grade | Start at A; deduct only for observable issues. | | Penalizing exception tests for low assertion count | Exception assertions are complete on their own. | | Downgrading a focused Go error-path test because it checks only `err != nil` | Expected-error existence is the observable contract for that scope; keep it at A unless the production contract requires a specific error identity or message. | | Treating `IsNotNull` before a value assertion as trivial | Only flag when the null check is the **only** assertion. | | Treating any Boolean assertion as effectively assertion-free | Only always-true literals (`Assert.IsTrue(true)`, `assert True`) are; meaningful `Assert.IsTrue(result.IsValid)` is a real assertion. | | Flagging Go/Rust table-driven loops as conditional logic | They are idiomatic; do not deduct. | | Treating pytest bare `assert` or Go `if got != want { t.Error… }` as missing-framework | Both are canonical; count in the correct assertion category. | | Penalizing tests when production code is unavailable | Mark concerns about uncovered behaviors as `Unverified` and do not deduct. | | Using a fake-precise score (e.g., 87/100) | Use the score band only — 90–100, 80–89, 70–79, 60–69, 0–59. | | Spilling a 500-row table into a PR comment | Apply the row cap from Step 6; collapse extras into `
`. | | Re-reporting an existing finding three times under different categories | Pick the most fitting category and report once. | | Inventing weaknesses for A-grade tests to make the note "balanced" | If a test is clean, the note may simply read `No issues found.` | | Mapping status from grade or comments | Fail only for actionable improvements; a B can Pass and an A can Fail. | | Confusing Uncertain and Not applicable | Evidence gaps are Uncertain; a valid empty scope is Not applicable. |