review

review is a skill for Claude Code from adriannoes/awesome-agentic-ai. It costs 44 tokens per session (783 once invoked), scanned A, original, MIT.

A review command for checking Playwright tests for quality problems and missing coverage. It looks for issues such as unreliable waits, weak selectors, missing asynchronous handling, shared test state, and untested edge cases.

In plain words
What is it for?
Use it to audit one test file, a test directory, or the project's configured test folder, including related page objects and fixtures when reviewing a specific file.
Why use it?
It helps catch tests that pass for the wrong reasons, break easily, or fail to check important behavior. The review is based on a defined set of Playwright anti-patterns and best practices.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Part of the pw plugin — 10 skills, 3 agents, 2 hooks, 2 MCP servers shipped together

Good fit Use it to audit one test file, a test directory, or the project's configured test folder, including related page objects and fixtures when reviewing a specific file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adriannoes/awesome-agentic-ai/review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add adriannoes/awesome-agentic-ai --skill review
Clone the repo
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-ai

Made for: Claude Code.

Or install pw, the plugin that ships this one along with the rest of its 10 skills, 3 agents, 2 hooks, 2 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review

README.md
[![agentmods](https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/review/github.svg)](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/review)
Your own site
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/review"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review

Your own site · 80×15
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/review"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00783
Opus 5 $0.00022 $0.00392
Sonnet 5 $0.00009 $0.00157
Haiku 4.5 $0.00004 $0.00078

Measured 11d ago against content hash 830d7e25e023, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cursor-claude-codex/skills/alirezarezvani-skills/playwright-pro/skills/review/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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?

Read the full file on GitHub · 103 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 103 lines · 44 tokens per session scan A 830d7e25e023

Subscribe to this mod's changes

review is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 13d ago), licensed MIT. It adds 44 tokens to every session and 783 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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