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Testing strategy

Skill aneja5/forge-skills/skills/testing-strategy

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npx -y skills add aneja5/forge-skills --skill testing-strategy

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Use when defining a project's test approach, when choosing what gets tested at unit vs integration vs e2e level, when setting per-component coverage targets, when reviewing test quality, or when CI is slow / flaky and tests need a strategy reset.

SKILL.md

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Testing Strategy

Overview

Define what gets tested, at what level, with what mocking — before tests proliferate. Output is .forge/testing-strategy.md — the test pyramid for this project (unit/integration/e2e ratio), what each level is responsible for, mocking philosophy, per-component coverage targets, the critical-path inventory, the flake quarantine policy, and CI gate definitions. Consumed by incremental-implementation, tdd, and code-review-and-quality.

When to Use

  • A new project is starting and needs test conventions before code lands
  • The test suite has grown organically and is slow, flaky, or inconsistent
  • Coverage % is being treated as a goal and producing meaningless tests
  • A team is mocking everything internally and tests pass while features break
  • CI takes >15 minutes and the team is starting to skip tests

When NOT to Use

  • Single-task work where tdd is the right skill (write the test, write the code)
  • Reference implementations or learning projects where tests aren't shipped
  • The strategy exists, is followed, and only one component needs adjustment

Common Rationalizations

ThoughtReality
"100% coverage is the goal"Coverage measures lines hit, not behavior verified. 100% coverage of a deleted file is meaningless.
"Mock everything"Mocking internals tests the mock, not the code. When the implementation changes, mocks lie.
"E2E is too slow, skip it"One e2e test catches what 50 unit tests miss — integration between layers is where most bugs live.
"We'll add tests after"Tests-after test imagined behavior, not actual behavior. They lock in accidents as decisions.
"Flaky tests just need a retry"Retries hide bugs. A flaky test is a heisenbug — quarantine and fix the root cause.
"Test the implementation so refactors stay safe"Refactors should change implementation freely. Tests on internals make refactoring expensive.

Red Flags

  • "100% coverage" as the explicit target
  • A test file with expect(spy).toHaveBeenCalledWith(...) and no other assertions
  • Every external service mocked at function level (mock the boundary instead)
  • Zero end-to-end tests for the primary user journey
  • A test that takes >30 seconds and runs on every commit
  • A test that passes when the underlying feature is manually broken (snapshot rot, weak assertions)
  • A retry config on pytest/vitest/jest to "fix" flakes

Core Process

Step 1: Identify critical user paths

Read .forge/prd.md if present. List the 3-7 user journeys that, if broken, ship a broken product. Each is an e2e candidate. Everything else is unit/integration.

Step 2: Decide test level per path

LevelTestsWhen
UnitPure functions, business logic, transformationsSingle module, no I/O
IntegrationModule + its real adapter (real DB, real HTTP via testcontainers)Boundaries, contracts
E2EFull stack, real browser if frontendCritical user paths only

Default ratio: 70% unit / 20% integration / 10% e2e. Adjust based on what's risky.

Step 3: Define mocking boundaries

The rule: mock at the seam, not inside the module.

  • Mock the HTTP client, not your service-that-calls-HTTP
  • Mock the message broker, not the consumer-that-uses-the-broker
  • Mock time, randomness, and the file system at the lowest seam (injected clock, seeded RNG, in-memory FS)
  • Never mock the database in integration tests — use testcontainers

Step 4: Set per-component coverage targets

Not "80% across the project." Per-component:

  • Pure business logic: 90%+ line + branch coverage
  • Adapters (HTTP/DB clients): integration-test coverage (line % less meaningful)
  • UI components: behavior coverage (clicks, keyboard, screen reader), not snapshot
  • Glue code: lower bar, but every error path tested

Document each target in .forge/testing-strategy.md with rationale.

Step 5: Write golden tests for invariants

Identify 3-10 invariants per critical module (e.g., "ownership isolation never broken", "no negative balance possible", "no orphan rows after delete"). Write a property/golden test per invariant. These survive refactors.

Step 6: Define flake quarantine policy

When a test flakes:

  1. Quarantine immediately (skip with TODO + owner + deadline).
  2. Find root cause within 5 business days (timing? shared state? real bug?).
  3. Re-enable only after the root cause is fixed.
  4. Quarantine over 5 days = delete or rewrite.

No retry-on-fail config in CI. Flakes are bugs, not noise.

Step 7: Define CI gates

In .forge/testing-strategy.md:

  • Which tests run on every push, every PR, nightly
  • Total CI budget (e.g., <10 min PR, <30 min nightly)
  • What's allowed to block merge (failing tests, coverage drop on critical modules)
  • What's monitoring-only (flake rate, suite duration trend)

Step 8: Header

Prepend a forge:meta header to .forge/testing-strategy.md (generated_by: testing-strategy, generated_at: <ISO 8601 UTC with Z>, depends_on: [.forge/prd.md] — paths only, never hashes, generated_from: {.forge/prd.md: <upstream content_hash AT generation time>}, content_hash: <sha256 first 8 of THIS file's body>). See forge-dependency-graph.

Verification

  • .forge/testing-strategy.md written with per-component coverage targets and rationale
  • Critical user paths each have at least one e2e test
  • Boundary modules (HTTP / DB / queue) have integration tests against real dependencies (testcontainers or similar)
  • Pure logic modules have unit tests with >90% branch coverage
  • No mock of an internal collaborator (only mocks at seams)
  • No test takes >5 seconds without a documented exception
  • Flake rate <1% over the trailing 30 days (or quarantine policy active)
  • CI runs in <10 minutes for PRs
  • No retries: N config used to mask flakes

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.