feat(skills): absorb falsifiability discipline into writing-good-tests

Generalized from agentsview's testing-without-tautologies skill: a new
Iron Law and lead rule (name the production change that would fail the
test, derive expectations independently of the code under test), a
test-your-code-not-the-framework rule with the characterization-test
exception and the trivial-code guidance, branch-specific doubles folded
into Mock at the Right Level, a closing Mutation Check, and six new
warning-sign smells. Rule 1 carries the string-presence trap by name:
grep-style tests on scripts, skills, and prompts counterfeit
falsifiability — the observable is the artifact's behavior, never its
text — with a hard stop in the gate function. Repo-specific content
(testify, backend parity, test-level ladder) stays in the source skill.
Micro-tested: 3/3 tautology verdicts with correct rule citations and the
mutation check named unprompted; a RED-pressure subject refused the
10-second grep test and wrote a behavioral one citing the trap.
This commit is contained in:
Jesse Vincent
2026-07-05 12:59:56 -07:00
parent 6f3eca4f2e
commit 78fb4643da
2 changed files with 145 additions and 13 deletions

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@@ -204,6 +204,7 @@ Next failing test for next feature.
| **Shows intent** | Demonstrates desired API | Obscures what code should do |
When writing or changing any test, read [writing-good-tests.md](writing-good-tests.md) for the rules that keep tests honest:
- Name the production change that would make the test fail — before writing it
- Assert on real behavior, never on mock behavior
- Keep test-only code in test utilities, out of production classes
- Understand a dependency's side effects before mocking it

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@@ -8,22 +8,86 @@ adding cleanup/helper methods for tests.
Good tests verify real behavior. Mocks exist to isolate the code under
test — they are never the thing being tested.
**Core principle:** Test what the code does, not what the mocks do.
**Core principle:** Test what the code does, not what the mocks do — and
make every test able to fail.
Strict TDD produces every rule below naturally: a test written first and
watched failing against real code only earns a mock when the real
dependency proves slow or external. A test asserting on a mock means TDD
was skipped somewhere.
watched failing against real code has already proven it can fail, and
only earns a mock when the real dependency proves slow or external. A
test asserting on a mock means TDD was skipped somewhere.
## The Iron Laws
```
1. Assert on real behavior, never on mock behavior
2. Production classes carry production methods only
3. Understand a dependency's side effects before mocking it
1. Every test can fail — name the production change that would fail it
2. Assert on real behavior, never on mock behavior
3. Production classes carry production methods only
4. Understand a dependency's side effects before mocking it
```
## Rule 1: Assert on Real Behavior
## Rule 1: Write Tests That Can Fail
Before writing or changing a test, name the production change that would
make it fail. If you cannot, redesign the test around an observable
behavior — a test that cannot fail protects nothing.
Derive expected values independently of the code under test: literals,
hand-checked fixtures, small worked examples, or invariant assertions.
Keep test logic simple enough to review by inspection — table-driven
tests with literal `want` values are the preferred shape.
```typescript
// ✅ GOOD: literal, hand-derived expectation
test('builds tag query', () => {
expect(buildSearchQuery({ tag: 'urgent' })).toBe('tag:"urgent"');
});
```
```typescript
// ❌ The violation: expectation computed by the logic under test
test('builds tag query', () => {
const expected = buildSearchQuery({ tag: 'urgent' }); // same builder!
expect(buildSearchQuery({ tag: 'urgent' })).toBe(expected); // always true
});
// ❌ Subtler: the expectation reuses the same helper the code calls
test('formats timestamp', () => {
expect(render(entry)).toContain(formatTime(entry.ts)); // mirrors implementation
});
```
A mirror assertion re-derives the answer with the answer's own machinery:
it passes no matter what that machinery does.
**The string-presence trap.** For a script, skill, prompt, or config, a
test that asserts the source contains an exact line counterfeits this
rule: it can fail (delete the line), so it passes the letter of
falsifiability while asserting only that the source is the source. It
breaks on every legitimate rewording and survives every real regression.
The observable for a script is what it does — run it against controlled
inputs and assert outputs, side effects, or exit codes. The observable
for a document that instructs an agent is the consuming agent's behavior
— pressure-test it. Text containment is never the observable.
### Gate Function
```
BEFORE writing the test body:
Ask: "What production change should make this test fail?"
IF you cannot name one:
STOP - Redesign the test around an observable behavior
IF the only answer is "the source text changed":
STOP - Run the artifact and assert its effects instead
Ask: "Is the expected value derived independently of the code under test?"
IF it reuses the code's own logic or helpers:
STOP - Replace it with a literal or hand-checked fixture
```
## Rule 2: Assert on Real Behavior
```typescript
// ✅ GOOD: Test the real component
@@ -60,7 +124,7 @@ BEFORE asserting on any mock element:
Test real behavior instead
```
## Rule 2: Keep Test Cleanup in Test Utilities
## Rule 3: Keep Test Cleanup in Test Utilities
```typescript
// ✅ GOOD: Test utilities own test cleanup
@@ -110,12 +174,18 @@ BEFORE adding any method to a production class:
STOP - Wrong class for this method
```
## Rule 3: Mock at the Right Level
## Rule 4: Mock at the Right Level
Learn what the real method does — every side effect — before replacing
it. Mock the slow or external operation and preserve the behavior your
test depends on.
Make doubles specific to their contract: when arguments, call counts, or
ordering matter, assert them — a fake that accepts anything verifies
nothing. And give each branch its own double: success, error, and
malformed paths each get their own fixture or spy, so the wrong branch
cannot satisfy the expectation.
```typescript
// ✅ GOOD: Mock the slow part, preserve behavior the test needs
test('detects duplicate server', () => {
@@ -165,7 +235,7 @@ BEFORE mocking any method:
- Mocking before tracing the dependency chain
```
## Rule 4: Mirror Real Data Completely
## Rule 5: Mirror Real Data Completely
Mock the COMPLETE data structure as it exists in reality, not just the
fields your immediate test uses.
@@ -209,13 +279,50 @@ BEFORE creating mock responses:
If uncertain: include all documented fields
```
## Rule 5: Tests Ship With the Implementation
## Rule 6: Test Your Code, Not the Framework
Test the contract your code makes at its boundaries — the route you
register, the query you emit, the payload shape you produce, the value
handoff between layers. Dependencies' documented mechanics are their
maintainers' tests to write.
```typescript
// ✅ GOOD: your contract at the boundary
test('GET /sessions/:id returns 404 for unknown id', async () => {
const res = await request(app).get('/sessions/nope');
expect(res.status).toBe(404);
expect(res.body.error).toBe('session not found');
});
```
```typescript
// ❌ The violation: re-proving the router works as documented
test('router calls handler for matching route', () => {
const handler = vi.fn();
router.get('/x', handler);
router.handle(makeRequest('/x'));
expect(handler).toHaveBeenCalled();
});
```
When upstream behavior genuinely surprised you (a quoting rule, an event
ordering), write one narrow characterization test around your integration
point and name the assumption in the test name or a comment.
The same boundary applies inside your own code: test behavior, not that
the implementation is written the way it is currently written. Plain
constructor assignment, getters, trivial forwarding, and data-only
structs earn tests only when they validate, normalize, default, derive,
enforce, or cause side effects — otherwise assert the first
consumer-visible result that depends on them.
## Rule 7: Tests Ship With the Implementation
Testing is part of implementation. The TDD cycle — failing test, minimal
implementation, refactor — is what "complete" means; "implementation
complete, ready for testing" describes an unfinished task.
## Rule 6: Prefer Real Components Over Complex Mocks
## Rule 8: Prefer Real Components Over Complex Mocks
Integration tests with real components are often simpler than elaborate
mocks. Reach for one when you see:
@@ -227,15 +334,33 @@ mocks. Reach for one when you see:
**your human partner's question:** "Do we need to be using a mock here?"
## The Mutation Check
Before finishing, mentally mutate the production code. At least one test
should fail for each realistic mutation:
- Wrong constant or argument
- Wrong branch handler
- Missing state change or side effect (row not written, event not emitted)
- Empty or default return
- Missing validation for zero, empty, nil, unauthorized, or malformed input
A mutation no test can catch marks the behavior as unprotected — or the
test as tautological.
## Quick Reference
| When you... | Do |
|-------------|-----|
| Write any test | Name the production change that would make it fail |
| Build an expected value | Derive it independently — literal or hand-checked fixture |
| Want to assert on a mocked element | Test the real component, or unmock it |
| Need cleanup that only tests use | Put it in test utilities |
| Are about to mock a method | Learn its side effects first; mock the slow/external level |
| Build a mock response | Mirror the real structure completely |
| Reach for a dependency test | Test your boundary contract, not their documented mechanics |
| Finish an implementation | Tests already exist (TDD) — or it is unfinished |
| Finish a test file | Run the mutation check |
| Watch mock setup balloon | Switch to an integration test with real components |
## Warning Signs
@@ -246,3 +371,9 @@ mocks. Reach for one when you see:
- The test fails when you remove the mock
- You can't explain why the mock is needed
- Mocking "just to be safe"
- Setup and assertion share the same object, guaranteeing equality
- The test can fail only through a panic, crash, or missing selector
- The test would still matter if only the framework remained
- Expected values are hidden behind loops, builders, or helpers
- The test greps source text instead of observing behavior
- The test asserts that a removed function, file, or symbol stays removed