test-flakiness-af5e26 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited test-flakiness-af5e26 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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:
/regression-suite identifies quarantined tests that need diagnosisModes:
/test-flakiness [ci-log-path] — analyse a specific CI run log file/test-flakiness scan — scan all available CI logs in .github/ orstandard log output directories
/test-flakiness registry — read existing regression-suite.md quarantinesection and provide remediation guidance for already-known flaky tests
scan if CI logs are accessible, elseregistry
Check for test result artifacts:
ls -t .github/ 2>/dev/null
ls -t test-results/ 2>/dev/nullFor 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.
If a path argument is provided, read that file directly.
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 totest-results/3. Run/test-flakiness registryto review tests already flagged as flaky intests/regression-suite.md"
Stop and ask the user which option to pursue.
For each CI log or result file found, parse:
JUnit XML format (GdUnit4 / Unity):
<testcase name= to get test names<failure or <error to identify failuresclassname and name attributes for full test identifiersPlain text logs:
PASSED / FAILED adjacent to test namesResult: Success / Result: FailTest passed / Test failedBuild a table: test_id → [run1_result, run2_result, run3_result, ...]
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:
genuinely rare failure
For each flaky test, classify the likely cause:
| 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.
For each flaky test:
Quarantine (High flakiness):
"Quarantine this test immediately. Disable it in CI by adding@pytest.mark.skip/[Ignore]/GdUnitSkipannotation. Log it intests/regression-suite.mdquarantine 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."
## 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]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:
disable this test in CI. Re-enable after the root cause is fixed."
change the equality comparison on line [N] to use is_equal_approx."
Schedule fix work for the [N] quarantined tests before the release gate."
"suspected" not "confirmed"; ask if more run data is available
direction even when recommending quarantine
file require explicit approval. On write: Verdict: COMPLETE — flakiness report written. On decline: Verdict: BLOCKED — user declined write.
actions clearly; do not just silently quarantine without the team knowing
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.