Flaky Test Detector

flaky-test-detector — run N times, classify stability

The engine is flaky-detect.js (portable Node, zero deps). It runs a test command a fixed number of times, records each run's exit code and duration, and returns one verdict:

• STABLE-PASS — every run exited 0. Exit 0.
• STABLE-FAIL — every run failed with the same nonzero exit every time. This is a consistently red test: a bug, not flake. Exit 1, labeled so you don't chase a phantom race.
• FLAKY — exit codes varied across runs (including nonzero codes that differ, e.g. 1 then 2). Non-deterministic; do not trust it as a gate. Exit 1.

The harness itself is deterministic — same loop, same capture, every time. Any variation in the verdict comes from the subject, which is exactly what you are trying to measure.

Commands

node flaky-detect.js --cmd "<test command>" [--times N] [--keep-logs <dir>]
node flaky-detect.js --canary
node flaky-detect.js --help

• --cmd (required) — the test command, run through the shell in the current working directory.
• --times N — run count (default 5, minimum 2). More runs raise confidence that an intermittent failure is caught.
• --keep-logs — save each run's stdout+stderr to run-01.log, run-02.log, … Diff two runs to see what actually differed between a pass and a fail.

Examples

• Confirm a regression test is genuinely deterministic (frozen tests are pinned byte-exact — they must never flake): node flaky-detect.js --cmd "python -m pytest tests/test_frozen_regression.py" --times 10 A FLAKY verdict here means the "frozen" guarantee is a lie; a STABLE-PASS is the evidence the pin holds.
• Chase an intermittent backend test (FastAPI/Postgres — async ordering and DB state are classic flake sources): node flaky-detect.js --cmd "pytest tests/test_signup.py::test_guardian_email -q" --times 8 --keep-logs flake-logs then diff flake-logs/run-03.log against a passing run to isolate the non-determinism.
• Distinguish red-from-flaky before you debug: if the verdict is STABLE-FAIL, stop looking for a race — the test fails the same way every time, so fix the test or the code. Only FLAKY warrants a hunt for shared state, timing, or ordering.

Windows notes

• PowerShell 5.1: wrap the whole --cmd value in double quotes: node flaky-detect.js --cmd "python -m pytest -q" --times 8.
• Git Bash: single quotes work too: --cmd 'pytest -q'.
• Do NOT drive a subject with node -e "<quoted code>" on this machine — PS 5.1 mangles quoted -e and leaves 0-byte junk files. Point --cmd at a real script or test runner instead.
• Duration is wall-clock (ms) and will jitter on a busy machine — it is a diagnostic signal, not part of the verdict. Only exit codes decide the class.

Storage

Nothing is written unless you pass --keep-logs <dir>, which creates the dir and writes one run-NN.log per run (numbered, zero-padded to at least two digits: run-01.log, run-02.log, …) plus a meta.txt holding each run's exit code and duration. Each run-NN.log contains the subject's stdout+stderr only — no timing header — so diff run-01.log run-02.log shows only real subject deltas, never the harness's own wall-clock jitter. The tool is otherwise read-only toward the world — it only launches the command you give it.

Exit codes

0 STABLE-PASS · 1 FLAKY or STABLE-FAIL · 2 usage error (missing --cmd, --times < 2).

Verification (the done-check)

node flaky-detect.js --canary

Self-tests both directions in a throwaway temp dir: an alternating pass/fail subject (a script that flips its exit code via a state file) is caught as FLAKY at 4 runs, an always-pass subject stays quiet as STABLE-PASS, an always-fail subject is labeled STABLE-FAIL, --keep-logs writes one file per run, and the usage guards reject bad input. MUST print CANARY PASS 15/15 before you trust a verdict.