SKILLEMALL.ai

AB my-play-music-from-yt

Play music on YouTube via browser automation with playwright-cli. Use when the user wants to: (1) play a specific song (e.g. 'play Money Money Money by ABBA') (2) play songs by an artist as a playlist or mix (e.g. 'play Jay Chou's songs') (3) play genre or mood-based music (e.g. 'play relaxing spa music', 'play 60s Chinese oldies') (4) control playback — next, pause, resume, stop, skip ad, change song, close the player. Also handles song/artist name corrections from voice transcription errors.

ClawHub Agent Skills author: whodidthese v0.0.9 4 files body ≈ 2 329 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 75/100 · Nearly there — weak spots: result and completion, inputs and preconditions

IntegrationYouTubePlaywrightMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
75/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
100
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. 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 75/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 43 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2329 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 503: enough signal without eating the budget
    • +4Structure: 34 headings
    • +3Step-by-step instructions: 43 items
    • +4Has examples (19 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill is mostly a coherent YouTube music controller, but it asks users to grant broad macOS permissions and always uses persistent browser data without enough scoping or cleanup warnings.
    LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026