SKILLEMALL.ai
GitHub ↗ RU Sign in

BF playwright

Operate Playwright for browser automation end to end: author and debug E2E test suites (robust locators, network interception and mocking, parallel workers, accessibility snapshot checks), wire them into CI, and drive headless browsing and scraping with an extract -> validate -> save loop. Use when writing, running, fixing, or scraping with Playwright, when a Playwright CI failure or JSON report needs triage, or when the bundled pwrun script should analyze a run. Do not use for QA strategy or test framework selection (route to qa-methodology), for frontend component or architecture design (route to frontend-engineering), or for Cloudflare/DDoS-GUARD challenge bypass (use flaresolverr).

magnus919/agent-skills Agent Skills author: magnus919 MIT 16 files · 4 scripts body ≈ 2 900 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Operate Playwright for browser automation end to end: author and debug E2E test suites (robust locators, network interception and mocking, parallel workers…

As a process F 41/100 · Will not run — References files that are not bundled: ../qa-methodology/SKILL.md, ../frontend-engineering/SKILL.md, ../flaresolverr/SKILL.md

AnalyzerPlaywrightCloudflareSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
79
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: ../qa-methodology/SKILL.md, ../frontend-engineering/SKILL.md, ../flaresolverr/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security references/06-scraping-and-headless.md:70
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **No credential harvesting, no personal data extraction, no auth-session

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../qa-methodology/SKILL.md
  • warning missing-ref reference to a missing file: ../frontend-engineering/SKILL.md
  • warning missing-ref reference to a missing file: ../flaresolverr/SKILL.md
  • warning missing-ref reference to a missing file: ../react/SKILL.md
  • warning missing-ref reference to a missing file: scripts/pwrun

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: ../qa-methodology/SKILL.md, ../frontend-engineering/SKILL.md, ../flaresolverr/SKILL.md
  • 0Tools and files. 5 referenced file(s) missing: ../qa-methodology/SKILL.md, ../frontend-engineering/SKILL.md, ../flaresolverr/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2900 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 top-level sections: this looks like several domains in one skill
  • low No test case covers injection arriving through data

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 694: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.