SKILLEMALL.ai

AB playwright-test-generator

AI-driven Playwright test code generator for QA engineers. Generates Page Object Models, standard test scripts, and data-driven tests from natural language descriptions, HTML analysis, or page URLs. Supports pytest-playwright, Jest Playwright, and native Playwright. Activate when the user asks to "generate Playwright tests", "create test script", "build POM from page", or mentions Playwright test generation.

ClawHub Agent Skills author: shenghoo123-png v1.1.0 MIT-0 32 files body ≈ 1 255 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process B 71/100 · Nearly there — weak spots: running it twice, progress reporting

GeneratorPlaywrightSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
95
Quality 40%
92
Run on models
none yet
Process rating
B
71/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:286
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…ywo+qwL+oL8H…C1U+vRfLQDvw==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:302
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-Yqfm+XDx0+Prh3…1yC+JWZ2…IL7+vK+Clp7…D7g==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:315
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…xZl+RoGR…fbT/ZgrF…0EA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:328
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…3bJ+V0If…IXN+CL65…a4w==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:344
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…H47+FFon…OsV/4+RRsz…0ig==",
      quoted

    Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 71/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1255 tokens
    • low 12 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 411: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 18 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a disclosed Playwright test generator whose browser navigation and file output fit its stated purpose, with caution needed around live URL analysis.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026