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Review

Skill OpenSIN-AI/OpenSIN-Skills/engineering-team/playwright-pro/skills/review

Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".From its SKILL.md

Install
npx -y skills add OpenSIN-AI/OpenSIN-Skills --skill review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, 723 tokens by cl100k_base, as published. Nobody here has run it

Review Playwright Tests

Systematically review Playwright test files for anti-patterns, missed best practices, and coverage gaps.

Input

$ARGUMENTS can be:

  • A file path: review that specific test file
  • A directory: review all test files in the directory
  • Empty: review all tests in the project's testDir

Steps

1. Gather Context

  • Read playwright.config.ts for project settings
  • List all *.spec.ts / *.spec.js files in scope
  • If reviewing a single file, also check related page objects and fixtures

2. Check Each File Against Anti-Patterns

Load anti-patterns.md from this skill directory. Check for all 20 anti-patterns.

Critical (must fix):

  1. waitForTimeout() usage
  2. Non-web-first assertions (expect(await ...))
  3. Hardcoded URLs instead of baseURL
  4. CSS/XPath selectors when role-based exists
  5. Missing await on Playwright calls
  6. Shared mutable state between tests
  7. Test execution order dependencies

Warning (should fix): 8. Tests longer than 50 lines (consider splitting) 9. Magic strings without named constants 10. Missing error/edge case tests 11. page.evaluate() for things locators can do 12. Nested test.describe() more than 2 levels deep 13. Generic test names ("should work", "test 1")

Info (consider): 14. No page objects for pages with 5+ locators 15. Inline test data instead of factory/fixture 16. Missing accessibility assertions 17. No visual regression tests for UI-heavy pages 18. Console error assertions not checked 19. Network idle waits instead of specific assertions 20. Missing test.describe() grouping

3. Score Each File

Rate 1-10 based on:

  • 9-10: Production-ready, follows all golden rules
  • 7-8: Good, minor improvements possible
  • 5-6: Functional but has anti-patterns
  • 3-4: Significant issues, likely flaky
  • 1-2: Needs rewrite

4. Generate Review Report

For each file:

## <filename> — Score: X/10

### Critical
- Line 15: `waitForTimeout(2000)` → use `expect(locator).toBeVisible()`
- Line 28: CSS selector `.btn-submit` → `getByRole('button', { name: "submit" })`

### Warning
- Line 42: Test name "test login" → "should redirect to dashboard after login"

### Suggestions
- Consider adding error case: what happens with invalid credentials?

5. For Project-Wide Review

If reviewing an entire test suite:

  • Spawn sub-agents per file for parallel review (up to 5 concurrent)
  • Or use /batch for very large suites
  • Aggregate results into a summary table

6. Offer Fixes

For each critical issue, provide the corrected code. Ask user: "Apply these fixes? [Yes/No]"

If yes, apply all fixes using Edit tool.

Output

  • File-by-file review with scores
  • Summary: total files, average score, critical issue count
  • Actionable fix list
  • Coverage gaps identified (pages/features with no tests)

What ships with it: 1 file

4.2 KB alongside SKILL.md

Gives 0 of the 12 instructions most review quality skills give in 723 tokens

Counted across 1,048 of the 1,783 authors here whose files we hold, read 2026-08-07

  • Ask questions one at a timein 81 of 1048, across 64 files
  • Provide a recommended answer for each questionin 73 of 1048, across 50 files
  • Explore the codebase instead of asking answerable questionsin 66 of 1048, across 42 files
  • Resolve dependencies between decisions one-by-onein 42 of 1048, across 17 files
  • Interview the user relentlessly about the planin 38 of 1048, across 13 files
  • Order findings by severityin 31 of 1048
  • Resolve each branch of the decision treein 27 of 1048, across 5 files
  • Run a grilling sessionin 26 of 1048, across 5 files
  • Update CONTEXT.md immediately when a term is resolvedin 26 of 1048, across 11 files
  • Propose precise canonical terms for vague languagein 25 of 1048, across 7 files
  • Create documentation files lazilyin 24 of 1048, across 5 files
  • Assign severity to every findingin 24 of 1048

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,835. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.