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/absolute-deflake

Flaky test fixes: detect nondeterministic tests empirically (repeat/shuffle/parallel runs), diagnose the root cause, fix it — never retry/skip/sleep — and verify across many randomized runs. Triggers on "absolute deflake", "fix flaky tests", "CI is flaky", "this test fails

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absolute
22211 skills

Claude Code

$ npx -y skills add dhruvjainin/absolute --skill absolute-deflake --agent claude-code

SKILL.md

absolute-deflake.SKILL.md
name: absolute-deflake
version: 0.5.0
description: >
  Flaky test fixes: detect nondeterministic tests empirically (repeat/shuffle/parallel runs), diagnose the root cause, fix it — never retry/skip/sleep — and verify across many randomized runs.
  Triggers on "absolute deflake", "fix flaky tests", "CI is flaky", "this test fails randomly/intermittently".
category: workflow
tags:
  - workflow
  - testing
  - flaky-tests
  - maintenance
platforms:
  - claude-code
  - gemini-cli
  - openai-codex
  - mcp
user-invocable: true
argument-hint: "[target]"
license: MIT
maintainers:
  - github: maddhruv

> Start your first response with the 🧪 emoji.

Absolute Deflake

Find tests that pass and fail nondeterministically, diagnose the **root cause** of each, and fix it — not by retrying or skipping, but by removing the source of nondeterminism. Output is evidence (failure rate per test) → cause → fix, verified by repeated runs.

Runs the shared engine in **`references/health-engine.md`** — read it for the DETECT → SCAN → TRIAGE → FIX → VERIFY → REPORT loop and the safety contract. This file covers only what's specific to flaky tests.

---

When to use

  • "Our CI is flaky", "this test fails randomly", "fix the intermittent failures".
  • A test passes locally but fails in CI (or vice versa), or fails ~1 in N runs.
  • Burning down a backlog of `retry`/`skip`-marked tests that mask real flakiness.

Not for tests that fail *deterministically* — that's a real bug or a real regression (`/absolute work` for a fix, or just fix it). `deflake` targets *nondeterministic* failures.

---

What it scans

Establish flakiness empirically — a test isn't flaky because someone said so. Use `preferences.health.deflakeRuns` from config as the default N for repeat-runs (else 20):

| Ecosystem | Repeat-run / detect | |---|---| | Jest/Vitest | run suite N× (`--run` loop), randomize order (`--shuffle` / `testSequencer`) | | pytest | `pytest-randomly` + `pytest --count=N` (`pytest-repeat`); `-p no:randomly` to A/B | | Go | `go test -count=N -shuffle=on ./...`, `-race` |

Also mine signals: existing `retry`/`flaky`/`skip` annotations, CI history if reachable, and run the suite both **in isolation** and **in full/parallel** — order- and concurrency- dependent failures only show one way. Record a **failure rate** per suspect test.

---

Common root causes (diagnose, don't guess)

| Cause | Tell | Fix | |---|---|---| | Test-order / shared state | passes alone, fails in suite (or vice versa) | isolate state; reset/teardown between tests | | Time / clock | fails near midnight, DST, or under load | fake timers / inject clock; no real `sleep` | | Async race / missing await | fails under parallelism or slow CI | await the actual condition; no fixed timeouts | | Randomness | fails ~X% with no pattern | seed the RNG; fix the seed in tests | | Network / external I/O | fails offline or on slow links | mock/stub the boundary | | Unordered collections | fails on map/set iteration order | sort before asserting | | Resource leak / port reuse | fails on repeat or parallel runs | unique resources; clean up |

---

Risk ranking (TRIAGE)

| Wave | Class | Default | |---|---|---| | 1 | clear, isolated cause (seed, await, fake clock, sort) | fix now | | 2 | shared-state / ordering — needs fixture refactor | fix this pass, per test | | 3 | flakiness pointing at a **real product race**, not just the test | gated — surface; may be a genuine bug to fix in code |

A flaky test sometimes means the *code* has a race, not the test. Don't "stabilize" the test into hiding a real concurrency bug — flag wave-3 cases for a real fix.

---

Fix & verify

  • Fix the **cause**. Then prove it: re-run the test **many times** (and shuffled / parallel /

with `-race`) — green once is not deflaked; green across N randomized runs is.

  • Remove the `retry`/`skip`/`flaky` annotation that was masking it once the cause is fixed.
  • **Never** "fix" by adding retries, raising timeouts blindly, `sleep`, or skipping the test —

that hides flakiness, doesn't remove it.

  • Re-run the **full** suite to confirm the fix didn't destabilize neighbors.

---

Gotchas

1. **Retry/skip as a fix.** Masks the flake, ships the nondeterminism. Forbidden here. 2. **`sleep` to dodge a race.** Slows the suite and still flakes under load. Await the condition. 3. **One green run = done.** Flakes are probabilistic — verify with many randomized runs. 4. **Stabilizing a real product race.** If the *code* races, fix the code, not just the assertion. 5. **Ignoring order/parallel dimension.** Run isolated *and* in-suite; the bug hides in whichever you skip.

---

Companion commands

  • **`/absolute upgrade`** — a flaky suite makes upgrade verification unreliable; deflake first.
  • **`/absolute debt`** — flaky-test annotations are test debt; this clears them at the root.
  • **`/absolute work`** — when the flake is a genuine product-code race needing real design.
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@maddhruv
Ships withabsolute

A development workflow engine for AI coding agents. Eleven separate skills — a one-time absolute-init (interview + stack detection → config), a build loop you run every day (think → spec → plan → build → polish → document), plus an engineering-health family

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Questions about absolute-deflake.

Which coding agents can use absolute-deflake?
absolute-deflake installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.