Files
Claude-Code-Game-Studios/.claude/skills/test-flakiness/SKILL.md
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DonchitosandClaude Opus 5 d05699707f Release 1.1.0 — one config file, and a process weight you choose
`project.yaml` at the repo root is now the single source of truth for a
project's configuration, replacing `production/stage.txt`,
`production/review-mode.txt` and `.claude/docs/technical-preferences.md` (all
three still read as a fallback; nothing is force-deleted).

**`modes.rigor` — one question instead of six.** `minimal`, `standard` or
`full` fronts six knobs: `modes.workflow`, `docs.density`, `qa.level`,
`modes.story_granularity`, `modes.review_mode` and `team.size`. It defaults to
`minimal`, which is a change from 1.0's behaviour: the heavier tier was
measured costing several times more to reach working code without producing a
better result, and returning nothing when a fresh developer inherited the
project. Pin `modes.rigor: standard` to keep 1.0's process level.

Also in this release:

- `/settings` to view or change any setting, and `project.local.yaml` for
  per-developer preferences that should not be committed.
- `system_overrides` to hold one system to a higher standard than the rest of
  the project, and `testing.strict` to set per test type whether missing
  evidence blocks a story or warns.
- A story that changes anything the player sees is not closed until the game
  has been launched, observed, and a screenshot retained in
  `production/qa/evidence/`. A parse check is not a run. This holds at every
  rigor level, including `minimal`, where automated tests are waived but the
  look is not.
- The code root is engine-specific and enforced as such: Godot `src/`, Unity
  `Assets/`, Unreal `Source/<Module>/`. Two of the three will not build a
  project laid out any other way.
- Migration tooling for existing projects: `.claude/scripts/migrate-v1-config.sh`
  converts a 1.0 layout, non-destructively by default, with a report to review
  before `--finalize` deletes anything.
- Ask-before-write holds regardless of personal automation settings.

Upgrading from 1.0 or earlier: see UPGRADING.md. Full list of changes:
CHANGELOG.md.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016xvzG3i7pWQg4LjyDwWMXd
2026-09-23 12:25:11 +10:00

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Raw Blame History

name, description, argument-hint, user-invocable, allowed-tools, model
name description argument-hint user-invocable allowed-tools model
test-flakiness Find flaky tests from CI logs — aggregates pass rates, spots intermittent failures, recommends quarantine. After multiple runs. [ci-log-path | scan | registry] true Read, Glob, Grep, Write, Edit, Bash sonnet

!source "${CLAUDE_PROJECT_DIR:-.}/.claude/hooks/yaml-helper.sh" 2>/dev/null && resolve_config --keys automation

Automation mode: Resolve modes.automation (project.local.yaml → project.yaml → default collaborative). Every AskUserQuestion call and every file write follows .claude/docs/automation-modes.md (collaborative asks always · guided major-only · autonomous logs and proceeds; automation_always_ask categories always prompt).

Test Flakiness Detection

A flaky test is one that sometimes passes and sometimes fails without any code change. Flaky tests are worse than no tests in some ways — they train the team to ignore red CI runs, masking genuine failures. This skill identifies them, explains likely causes, and recommends whether to quarantine or fix each one.

Output: Updated tests/regression-suite.md quarantine section + optional production/qa/flakiness-report-[date].md

When to run:

  • Polish phase (tests have had many runs; statistical signal is reliable)
  • When developers start dismissing CI failures as "probably flaky"
  • After /regression-suite identifies quarantined tests that need diagnosis

1. Parse Arguments

Modes:

  • /test-flakiness [ci-log-path] — analyse a specific CI run log file
  • /test-flakiness scan — scan all available CI logs in .github/ or standard log output directories
  • /test-flakiness registry — read existing regression-suite.md quarantine section and provide remediation guidance for already-known flaky tests
  • No argument — auto-detect: run scan if CI logs are accessible, else registry

2. Locate CI Log Data

Option A — GitHub Actions (preferred)

Check for test result artifacts:

ls -t .github/ 2>/dev/null
ls -t test-results/ 2>/dev/null

For Godot projects: GdUnit4 outputs XML results compatible with JUnit format. Check test-results/ for .xml files.

For Unity projects: game-ci test runner outputs NUnit XML to test-results/ by default.

For Unreal projects: automation logs go to Saved/Logs/. Grep for Result: Success and Result: Fail patterns.

Option B — Local log files

If a path argument is provided, read that file directly.

Option C — No log data available

If no logs found:

"No CI log data found. To detect flaky tests, this skill needs test result history from multiple runs. Options:

  1. Run the test suite at least 3 times and collect the output logs
  2. Check CI pipeline output and save a log to test-results/
  3. Run /test-flakiness registry to review tests already flagged as flaky in tests/regression-suite.md"

Stop and ask the user which option to pursue.


3. Parse Test Results

For each CI log or result file found, parse:

JUnit XML format (GdUnit4 / Unity):

  • Grep for <testcase name= to get test names
  • Grep for <failure or <error to identify failures
  • Parse classname and name attributes for full test identifiers

Plain text logs:

  • Grep for pass/fail patterns:
    • Godot: PASSED / FAILED adjacent to test names
    • Unreal: Result: Success / Result: Fail
    • Unity: Test passed / Test failed

Build a table: test_id → [run1_result, run2_result, run3_result, ...]


4. Identify Flaky Tests

A test is flaky if it appears in the result history with both PASS and FAIL outcomes across runs with no code changes between them.

Flakiness thresholds:

  • High flakiness: Fails in >25% of runs — quarantine immediately
  • Moderate flakiness: Fails in 5–25% of runs — investigate and fix soon
  • Low/suspected flakiness: Fails in 1–5% of runs — monitor; may be genuinely rare failure

For each flaky test, classify the likely cause:

Cause classification

Cause Symptoms Fix direction
Timing / async Fails after awaiting signals or timers; pass rate correlates with system load Add explicit await/synchronisation; avoid time-based delays
Order dependency Fails when run after specific other tests; passes in isolation Add proper setup/teardown; ensure test isolation
Random seed Fails intermittently with no pattern; involves RNG Pass explicit seed; don't use randf() in tests
Resource leak Fails more often later in a test run Fix cleanup in teardown; check orphan nodes (Godot) or object disposal (Unity)
External state Fails when a file, scene, or global exists from a prior test Isolate test from file system; use in-memory mocks
Floating point Fails on comparisons like == 0.5 Use epsilon comparison (is_equal_approx, Assert.AreApproximately)
Scene/prefab load race Fails when scenes are not yet ready Await one frame after instantiation; use await get_tree().process_frame

Use Grep to check the test file for timing calls, randf, global state access, or equality comparisons on floats to narrow down the cause.


5. Recommend Action

For each flaky test:

Quarantine (High flakiness):

"Quarantine this test immediately. Disable it in CI by adding @pytest.mark.skip / [Ignore] / GdUnitSkip annotation. Log it in tests/regression-suite.md quarantine section. The test is now opt-in only. Fix the root cause before removing quarantine."

Investigate and fix soon (Moderate):

"This test is intermittently unreliable. Root cause appears to be [cause]. Suggested fix: [specific fix based on cause classification]. Do not quarantine yet — fix the test directly."

Monitor (Low/suspected):

"This test shows suspected flakiness. Collect more run data before quarantining. Note it as 'suspected' in the regression suite."


6. Generate Reports

In-conversation summary

## Flakiness Detection Results

**Runs analysed**: [N]
**Tests tracked**: [N]

### Flaky Tests Found

| Test | System | Fail Rate | Likely Cause | Recommendation |
|------|--------|-----------|--------------|----------------|
| [test_name] | [system] | [N]% | Timing | Quarantine + fix async |
| [test_name] | [system] | [N]% | Float comparison | Fix: use epsilon compare |
| [test_name] | [system] | [N]% | Order dependency | Investigate teardown |

### Clean Tests (no flakiness detected)

[N] tests ran across [N] runs with consistent results — no flakiness detected.

### Data Limitations

[Note if fewer than 5 runs were available — fewer runs = less statistical confidence]

7. Update Regression Suite + Optional Report File

Ask: "May I update the quarantine section of tests/regression-suite.md with the flaky tests found?"

If yes: use Edit to append entries to the Quarantined Tests table. Never remove existing quarantine entries — only add new ones.

Ask (separately): "May I write a full flakiness report to production/qa/flakiness-report-[date].md?"

The full report includes per-test analysis with cause details and engine-specific fix snippets.

After writing:

  • For each quarantined test: "Add the engine-specific skip annotation to disable this test in CI. Re-enable after the root cause is fixed."
  • For fix-eligible tests: "The fix for [test] is straightforward — change the equality comparison on line [N] to use is_equal_approx."
  • Summary: "Once all quarantine annotations are applied, CI should run green. Schedule fix work for the [N] quarantined tests before the release gate."

Collaborative Protocol

  • Never delete test files — quarantine means annotate + list, not remove
  • Statistical confidence matters — with < 3 runs, flag findings as "suspected" not "confirmed"; ask if more run data is available
  • Fix is always the goal — quarantine is temporary; surface the fix direction even when recommending quarantine
  • Ask before writing — both the regression-suite update and the report file require explicit approval. On write: Verdict: COMPLETE — flakiness report written. On decline: Verdict: BLOCKED — user declined write.
  • Flakiness in CI is a team problem — surface the list and recommended actions clearly; do not just silently quarantine without the team knowing