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radius-investigate-flaky-test

radius-project/radius/.github/skills/radius-investigate-flaky-test/SKILL.md

Investigate a GitHub issue labeled flaky-test in the Radius repository: measure how often it hits CI, determine whether the root cause is a product defect or a test defect, propose and optionally implement the best fix, and post the findings as an issue comment. Use when asked to investigate, triage, or fix a flaky test, or when a flaky-test issue is assigned automatically.

Skill1.7k starsChanged 4 months ago
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What's in it

  1. Investigate a flaky test
  2. When to Use
  3. Inputs
  4. 1. Load the issue and confirm scope
  5. 2. Measure the flake frequency
  6. 3. Classify the root cause
  7. 4. Propose the best fix
  8. 5. Implement and validate (when a fix is requested)
  9. 6. Post findings to the issue
  10. 7. Open a pull request (only if explicitly requested)
  11. Example Prompts
  12. Checklist
---
name: radius-investigate-flaky-test
description: 'Investigate a GitHub issue labeled flaky-test in the Radius repository: measure how often it hits CI, determine whether the root cause is a product defect or a test defect, propose and optionally implement the best fix, and post the findings as an issue comment. Use when asked to investigate, triage, or fix a flaky test, or when a flaky-test issue is assigned automatically.'
argument-hint: 'Issue number or URL for the flaky-test issue (e.g. 12575)'
user-invocable: true
---

# Investigate a flaky test

Backing doc: [Investigating flaky tests](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md). This is the source of truth for every step below — follow it exactly, including the exact `gh` commands and the `pkg/retry` usage pattern.

## When to Use

- An issue carries the `flaky-test` label and needs investigation.
- You were asked to estimate how often a specific test fails in CI.
- You were asked to fix a flaky test and the fix should prefer the repository's retry library over ad hoc retry loops.
- The [`flaky-test-investigation.yml`](../../../.github/workflows/flaky-test-investigation.yml) automation assigned you to a `flaky-test` issue.

Do not use this skill for:

- General issue investigation unrelated to test flakiness (use `issue-investigator`).
- Reviewing a pull request (use `radius-code-review`).

## Inputs

- **Issue number or URL** (required; ask if not provided and cannot be inferred from context).
- **Whether to open a pull request** (optional; default to investigation + issue comment only unless the user asks for a fix to be implemented and submitted).

## 1. Load the issue and confirm scope

```sh
gh issue view --repo radius-project/radius <issue-number> --json title,body,labels,state,assignees,comments
```

Confirm the `flaky-test` label is present. Read the issue body for the failing test name, the suite, and any linked CI run URL. If the issue does not name a specific test or suite, search recent CI failures for a match before proceeding, and ask the user for clarification if the target test still cannot be identified.

If you are an external contributor automation considering opening a pull request, re-check the [external automated contribution eligibility](../../../AGENTS.md#external-automated-contributions) rules before implementing anything — this skill's own investigation and comment steps are always allowed, but opening a PR is not, unless those conditions are met.

## 2. Measure the flake frequency

Follow [step 2 of the backing doc](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md#2-measure-how-often-the-flake-hits) exactly: identify the workflow that runs the suite, pull recent run history with `gh run list`, and count failures mentioning the test name with `gh run view --log-failed`. Cross-reference other open or closed `flaky-test` issues for the same test. Produce a frequency figure with its sample size and lookback window, plus links to every failed run counted — never report a bare percentage without that evidence.

## 3. Classify the root cause

Follow [step 3 of the backing doc](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md#3-determine-product-defect-vs-test-defect). Read the failure output and the product/test code involved, then classify as a **product defect** or a **test defect**, citing the specific evidence (stack trace, timeout vs. invariant-violation error, `git blame` on recently changed code, CI load correlation). If the evidence is inconclusive, say so rather than guessing.

## 4. Propose the best fix

Follow [step 4 of the backing doc](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md#4-propose-and-choose-a-fix). List the realistic options and recommend one:

- A genuine product bug needs a product-code fix, not a retry.
- A transient/external-dependency or eventual-consistency test defect should be wrapped with [`pkg/retry`](../../../pkg/retry/retry.go) (`retry.NewDefaultRetryer()` for the standard exponential backoff, or `retry.NewRetryer` with a custom `RetryConfig` when the default does not fit) — never a bespoke retry loop or a fixed `time.Sleep` poll.
- A race/ordering test defect needs correct synchronization, not a retry around an incorrect assertion.

## 5. Implement and validate (when a fix is requested)

Make the change, then validate per [step 5 of the backing doc](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md#5-implement-and-validate-the-fix). **If a PR is requested**, the fix must be verified by repeating the specific test (`go test ./path/... -run TestName -count=N -race`):

- A **minimum of 20 runs**, all passing.
- **100 runs preferred** when the test is "fast" (a single run completes in well under a few seconds).
- If the right count is in question (e.g. you cannot tell how fast the test is, or there's any other ambiguity), **ask the user** explicitly rather than guessing.

Also run the suite's normal tier command, and add regression coverage for a product-code fix where feasible.

## 6. Post findings to the issue

Compose one comment covering frequency (with evidence), root cause (with evidence), fix options considered, and the recommended or applied fix. Post it with:

```sh
gh issue comment --repo radius-project/radius <issue-number> --body-file findings.md
```

Do not skip this step even when no fix is implemented — the investigation itself is the deliverable unless a PR is also requested.

## 7. Open a pull request (only if explicitly requested)

Re-verify PR eligibility (see step 1) immediately before creating the PR. Then follow [step 7 of the backing doc](../../../docs/contributing/contributing-code/contributing-code-tests/investigating-flaky-tests.md#7-open-a-pull-request-only-if-requested):

- Commit with both flags: `git commit -s -S -m "..."`.
- Reference `Fixes: #<issue-number>` in the commit message.
- Create the PR with the required release-impact label:

  ```sh
  gh pr create --repo radius-project/radius --label pr:standard --title "fix: <description>" --body-file pr-body.md
  ```

- Fill in the PR template's test-instructions section with the exact commands from step 5 and their results.

## Example Prompts

- `/radius-investigate-flaky-test Investigate issue #12575`
- `/radius-investigate-flaky-test Investigate #12575 and open a PR with the fix`

## Checklist

- [ ] `flaky-test` label confirmed on the issue
- [ ] Flake frequency reported with sample size, lookback window, and run links
- [ ] Root cause classified as product defect or test defect, with evidence
- [ ] Fix options listed; recommended fix uses `pkg/retry` when retrying is appropriate
- [ ] Findings posted as an issue comment
- [ ] If a PR was opened: fix verified with a passing repeat-run loop (≥20 runs, 100 preferred for fast tests; iteration count confirmed with the user if unclear)
- [ ] If a PR was opened: commits signed off and signed (`-s -S`), `pr:standard` or `pr:important` label applied, issue linked, PR eligibility re-checked

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